Tesseract 3.02

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Public Member Functions | Public Attributes
tesseract::Tesseract Class Reference

`#include <tesseractclass.h>`

Inheritance diagram for tesseract::Tesseract:

List of all members.

## Public Member Functions

| Tesseract ()
| ~Tesseract ()
void | Clear ()
void | ResetAdaptiveClassifier ()
void | ResetDocumentDictionary ()
void | SetEquationDetect (EquationDetect *detector)
const FCOORD & | reskew () const
Pix ** | mutable_pix_binary ()
Pix * | pix_binary () const
Pix * | pix_grey () const
void | set_pix_grey (Pix *grey_pix)
Pix * | BestPix () const
int | source_resolution () const
void | set_source_resolution (int ppi)
int | ImageWidth () const
int | ImageHeight () const
Pix * | scaled_color () const
int | scaled_factor () const
void | SetScaledColor (int factor, Pix *color)
const Textord & | textord () const
Textord * | mutable_textord ()
bool | right_to_left () const
int | num_sub_langs () const
Tesseract * | get_sub_lang (int index) const
void | SetBlackAndWhitelist ()
void | PrepareForPageseg ()
void | PrepareForTessOCR (BLOCK_LIST *block_list, Tesseract *osd_tess, OSResults *osr)
int | SegmentPage (const STRING *input_file, BLOCK_LIST *blocks, Tesseract *osd_tess, OSResults *osr)
void | SetupWordScripts (BLOCK_LIST *blocks)
int | AutoPageSeg (bool single_column, bool osd, bool only_osd, BLOCK_LIST *blocks, TO_BLOCK_LIST *to_blocks, Tesseract *osd_tess, OSResults *osr)
ColumnFinder * | SetupPageSegAndDetectOrientation (bool single_column, bool osd, bool only_osd, BLOCK_LIST *blocks, Tesseract *osd_tess, OSResults *osr, TO_BLOCK_LIST *to_blocks, Pix **photo_mask_pix, Pix **music_mask_pix)
bool | ProcessTargetWord (const TBOX &word_box, const TBOX &target_word_box, const char *word_config, int pass)
bool | recog_all_words (PAGE_RES *page_res, ETEXT_DESC *monitor, const TBOX *target_word_box, const char *word_config, int dopasses)
void | rejection_passes (PAGE_RES *page_res, ETEXT_DESC *monitor, const TBOX *target_word_box, const char *word_config)
void | bigram_correction_pass (PAGE_RES *page_res)
void | blamer_pass (PAGE_RES *page_res)
bool | RetryWithLanguage (WERD_RES *word, BLOCK *block, ROW *row, WordRecognizer recognizer)
void | classify_word_and_language (WordRecognizer recognizer, BLOCK *block, ROW *row, WERD_RES *word)
void | classify_word_pass1 (BLOCK *block, ROW *row, WERD_RES *word)
void | recog_pseudo_word (PAGE_RES *page_res, TBOX &selection_box)
void | fix_rep_char (PAGE_RES_IT *page_res_it)
void | ExplodeRepeatedWord (BLOB_CHOICE *best_choice, PAGE_RES_IT *page_res_it)
ACCEPTABLE_WERD_TYPE | acceptable_word_string (const UNICHARSET &char_set, const char *s, const char *lengths)
void | match_word_pass2 (WERD_RES *word, ROW *row, BLOCK *block)
void | classify_word_pass2 (BLOCK *block, ROW *row, WERD_RES *word)
void | ReportXhtFixResult (bool accept_new_word, float new_x_ht, WERD_RES *word, WERD_RES *new_word)
bool | RunOldFixXht (WERD_RES *word, BLOCK *block, ROW *row)
bool | TrainedXheightFix (WERD_RES *word, BLOCK *block, ROW *row)
BOOL8 | recog_interactive (BLOCK *block, ROW *row, WERD_RES *word_res)
void | set_word_fonts (WERD_RES *word, BLOB_CHOICE_LIST_CLIST *blob_choices)
void | font_recognition_pass (PAGE_RES *page_res)
BOOL8 | check_debug_pt (WERD_RES *word, int location)
bool | init_cube_objects (bool load_combiner, TessdataManager *tessdata_manager)
void | run_cube_combiner (PAGE_RES *page_res)
void | cube_word_pass1 (BLOCK *block, ROW *row, WERD_RES *word)
CubeObject * | cube_recognize_word (BLOCK *block, WERD_RES *word)
void | cube_combine_word (CubeObject *cube_obj, WERD_RES *cube_word, WERD_RES *tess_word)
bool | cube_recognize (CubeObject *cube_obj, BLOCK *block, WERD_RES *word)
void | fill_werd_res (const BoxWord &cube_box_word, WERD_CHOICE *cube_werd_choice, const char *cube_best_str, WERD_RES *tess_werd_res)
bool | extract_cube_state (CubeObject *cube_obj, int *num_chars, Boxa **char_boxes, CharSamp ***char_samples)
bool | create_cube_box_word (Boxa *char_boxes, int num_chars, TBOX word_box, BoxWord *box_word)
void | output_pass (PAGE_RES_IT &page_res_it, const TBOX *target_word_box)
void | write_results (PAGE_RES_IT &page_res_it, char newline_type, BOOL8 force_eol)
void | set_unlv_suspects (WERD_RES *word)
UNICHAR_ID | get_rep_char (WERD_RES *word)
BOOL8 | acceptable_number_string (const char *s, const char *lengths)
inT16 | count_alphanums (const WERD_CHOICE &word)
inT16 | count_alphas (const WERD_CHOICE &word)
void | read_config_file (const char *filename, SetParamConstraint constraint)
int | init_tesseract (const char *arg0, const char *textbase, const char *language, OcrEngineMode oem, char **configs, int configs_size, const GenericVector< STRING > *vars_vec, const GenericVector< STRING > *vars_values, bool set_only_init_params)
int | init_tesseract (const char *datapath, const char *language, OcrEngineMode oem)
int | init_tesseract_internal (const char *arg0, const char *textbase, const char *language, OcrEngineMode oem, char **configs, int configs_size, const GenericVector< STRING > *vars_vec, const GenericVector< STRING > *vars_values, bool set_only_init_params)
void | SetupUniversalFontIds ()
int | init_tesseract_lm (const char *arg0, const char *textbase, const char *language)
void | recognize_page (STRING &image_name)
void | end_tesseract ()
bool | init_tesseract_lang_data (const char *arg0, const char *textbase, const char *language, OcrEngineMode oem, char **configs, int configs_size, const GenericVector< STRING > *vars_vec, const GenericVector< STRING > *vars_values, bool set_only_init_params)
void | ParseLanguageString (const char *lang_str, GenericVector< STRING > *to_load, GenericVector< STRING > *not_to_load)
SVMenuNode * | build_menu_new ()
void | pgeditor_main (int width, int height, PAGE_RES *page_res)
void | process_image_event (const SVEvent &event)
BOOL8 | process_cmd_win_event (inT32 cmd_event, char *new_value)
void | debug_word (PAGE_RES *page_res, const TBOX &selection_box)
void | do_re_display (BOOL8(tesseract::Tesseract::*word_painter)(BLOCK *block, ROW *row, WERD_RES *word_res))
BOOL8 | word_display (BLOCK *block, ROW *row, WERD_RES *word_res)
BOOL8 | word_bln_display (BLOCK *block, ROW *row, WERD_RES *word_res)
BOOL8 | word_blank_and_set_display (BLOCK *block, ROW *row, WERD_RES *word_res)
BOOL8 | word_set_display (BLOCK *block, ROW *row, WERD_RES *word_res)
BOOL8 | word_dumper (BLOCK *block, ROW *row, WERD_RES *word_res)
void | make_reject_map (WERD_RES *word, BLOB_CHOICE_LIST_CLIST *blob_choices, ROW *row, inT16 pass)
BOOL8 | one_ell_conflict (WERD_RES *word_res, BOOL8 update_map)
inT16 | first_alphanum_index (const char *word, const char *word_lengths)
inT16 | first_alphanum_offset (const char *word, const char *word_lengths)
inT16 | alpha_count (const char *word, const char *word_lengths)
BOOL8 | word_contains_non_1_digit (const char *word, const char *word_lengths)
void | dont_allow_1Il (WERD_RES *word)
inT16 | count_alphanums (WERD_RES *word)
void | flip_0O (WERD_RES *word)
BOOL8 | non_0_digit (const UNICHARSET &ch_set, UNICHAR_ID unichar_id)
BOOL8 | non_O_upper (const UNICHARSET &ch_set, UNICHAR_ID unichar_id)
BOOL8 | repeated_nonalphanum_wd (WERD_RES *word, ROW *row)
void | nn_match_word (WERD_RES *word, ROW *row)
void | nn_recover_rejects (WERD_RES *word, ROW *row)
BOOL8 | test_ambig_word (WERD_RES *word)
void | set_done (WERD_RES *word, inT16 pass)
inT16 | safe_dict_word (const WERD_RES *werd_res)
void | flip_hyphens (WERD_RES *word)
void | reject_I_1_L (WERD_RES *word)
void | reject_edge_blobs (WERD_RES *word)
void | reject_mostly_rejects (WERD_RES *word)
BOOL8 | word_adaptable (WERD_RES *word, uinT16 mode)
void | recog_word_recursive (WERD_RES *word, BLOB_CHOICE_LIST_CLIST *blob_choices)
void | recog_word (WERD_RES *word, BLOB_CHOICE_LIST_CLIST *blob_choices)
void | split_and_recog_word (WERD_RES *word, BLOB_CHOICE_LIST_CLIST *blob_choices)
void | match_current_words (WERD_RES_LIST &words, ROW *row, BLOCK *block)
inT16 | fp_eval_word_spacing (WERD_RES_LIST &word_res_list)
void | dump_words (WERD_RES_LIST &perm, inT16 score, inT16 mode, BOOL8 improved)
GARBAGE_LEVEL | garbage_word (WERD_RES *word, BOOL8 ok_dict_word)
BOOL8 | potential_word_crunch (WERD_RES *word, GARBAGE_LEVEL garbage_level, BOOL8 ok_dict_word)
void | tilde_crunch (PAGE_RES_IT &page_res_it)
void | unrej_good_quality_words (PAGE_RES_IT &page_res_it)
void | doc_and_block_rejection (PAGE_RES_IT &page_res_it, BOOL8 good_quality_doc)
void | quality_based_rejection (PAGE_RES_IT &page_res_it, BOOL8 good_quality_doc)
void | convert_bad_unlv_chs (WERD_RES *word_res)
void | tilde_delete (PAGE_RES_IT &page_res_it)
inT16 | word_blob_quality (WERD_RES *word, ROW *row)
void | word_char_quality (WERD_RES *word, ROW *row, inT16 *match_count, inT16 *accepted_match_count)
void | unrej_good_chs (WERD_RES *word, ROW *row)
inT16 | count_outline_errs (char c, inT16 outline_count)
inT16 | word_outline_errs (WERD_RES *word)
BOOL8 | terrible_word_crunch (WERD_RES *word, GARBAGE_LEVEL garbage_level)
CRUNCH_MODE | word_deletable (WERD_RES *word, inT16 &delete_mode)
inT16 | failure_count (WERD_RES *word)
BOOL8 | noise_outlines (TWERD *word)
void | process_selected_words (PAGE_RES *page_res, TBOX &selection_box, BOOL8(tesseract::Tesseract::*word_processor)(BLOCK *block, ROW *row, WERD_RES *word_res))
void | tess_segment_pass1 (WERD_RES *word, BLOB_CHOICE_LIST_CLIST *blob_choices)
PAGE_RES * | ApplyBoxes (const STRING &fname, bool find_segmentation, BLOCK_LIST *block_list)
PAGE_RES * | SetupApplyBoxes (const GenericVector< TBOX > &boxes, BLOCK_LIST *block_list)
void | MaximallyChopWord (const GenericVector< TBOX > &boxes, BLOCK *block, ROW *row, WERD_RES *word_res)
bool | ResegmentCharBox (PAGE_RES *page_res, const TBOX *prev_box, const TBOX &box, const TBOX &next_box, const char *correct_text)
bool | ResegmentWordBox (BLOCK_LIST *block_list, const TBOX &box, const TBOX &next_box, const char *correct_text)
void | ReSegmentByClassification (PAGE_RES *page_res)
bool | ConvertStringToUnichars (const char *utf8, GenericVector< UNICHAR_ID > *class_ids)
bool | FindSegmentation (const GenericVector< UNICHAR_ID > &target_text, WERD_RES *word_res)
void | SearchForText (const GenericVector< BLOB_CHOICE_LIST * > *choices, int choices_pos, int choices_length, const GenericVector< UNICHAR_ID > &target_text, int text_index, float rating, GenericVector< int > *segmentation, float *best_rating, GenericVector< int > *best_segmentation)
void | TidyUp (PAGE_RES *page_res)
void | ReportFailedBox (int boxfile_lineno, TBOX box, const char *box_ch, const char *err_msg)
void | CorrectClassifyWords (PAGE_RES *page_res)
void | ApplyBoxTraining (const STRING &filename, PAGE_RES *page_res)
int | CountMisfitTops (WERD_RES *word_res)
float | ComputeCompatibleXheight (WERD_RES *word_res)
FILE * | init_recog_training (const STRING &fname)
void | recog_training_segmented (const STRING &fname, PAGE_RES *page_res, volatile ETEXT_DESC *monitor, FILE *output_file)
void | ambigs_classify_and_output (WERD_RES *werd_res, ROW_RES *row_res, BLOCK_RES *block_res, const char *label, FILE *output_file)
CubeRecoContext * | GetCubeRecoContext ()
eval_word_spacing()

The basic measure is the number of characters in contextually confirmed words. (I.e the word is done) If all words are contextually confirmed the evaluation is deemed perfect.

Some fiddles are done to handle "1"s as these are VERY frequent causes of fuzzy spaces. The problem with the basic measure is that "561 63" would score the same as "56163", though given our knowledge that the space is fuzzy, and that there is a "1" next to the fuzzy space, we need to ensure that "56163" is prefered.

The solution is to NOT COUNT the score of any word which has a digit at one end and a "1Il" as the character the other side of the space.

Conversly, any character next to a "1" within a word is counted as a positive score. Thus "561 63" would score 4 (3 chars in a numeric word plus 1 side of the "1" joined). "56163" would score 7 - all chars in a numeric word + 2 sides of a "1" joined.

The joined 1 rule is applied to any word REGARDLESS of contextual confirmation. Thus "PS7a71 3/7a" scores 1 (neither word is contexutally confirmed. The only score is from the joined 1. "PS7a713/7a" scores 2.

BOOL8 | digit_or_numeric_punct (WERD_RES *word, int char_position)
inT16 | eval_word_spacing (WERD_RES_LIST &word_res_list)
fix_sp_fp_word()
Test the current word to see if it can be split by deleting noise blobs. If so, do the business. Return with the iterator pointing to the same place if the word is unchanged, or the last of the replacement words.
void | fix_noisy_space_list (WERD_RES_LIST &best_perm, ROW *row, BLOCK *block)
void | fix_sp_fp_word (WERD_RES_IT &word_res_it, ROW *row, BLOCK *block)
inT16 | worst_noise_blob (WERD_RES *word_res, float *worst_noise_score)
float | blob_noise_score (TBLOB *blob)
void | break_noisiest_blob_word (WERD_RES_LIST &words)
fix_fuzzy_spaces()

Walk over the page finding sequences of words joined by fuzzy spaces. Extract them as a sublist, process the sublist to find the optimal arrangement of spaces then replace the sublist in the ROW_RES.

Parameters:

  | monitor | progress monitor
  | word_count | count of words in doc
  [out] | page_res |

void | fix_fuzzy_space_list (WERD_RES_LIST &best_perm, ROW *row, BLOCK *block)
void | fix_fuzzy_spaces (ETEXT_DESC *monitor, inT32 word_count, PAGE_RES *page_res)
uniformly_spaced()

Return true if one of the following are true:

- All inter-char gaps are the same width
- The largest gap is no larger than twice the mean/median of the others
- The largest gap is < normalised_max_nonspace **** REMEMBER - WE'RE NOW WORKING WITH A BLN WERD !!!

BOOL8 | uniformly_spaced (WERD_RES *word)
BOOL8 | fixspace_thinks_word_done (WERD_RES *word)
tess_add_doc_word
Add the given word to the document dictionary
void | tess_add_doc_word (WERD_CHOICE *word_choice)
tess_segment_pass2

Segment a word using the pass2 conditions of the tess segmenter.

Parameters:

  word | word to do
  blob_choices | list of blob lists

void | tess_segment_pass2 (WERD_RES *word, BLOB_CHOICE_LIST_CLIST *blob_choices)
tess_acceptable_word

Returns:
  true if the word is regarded as "good enough".

Parameters:

  word_choice | after context
  raw_choice | before context

BOOL8 | tess_acceptable_word (WERD_CHOICE *word_choice, WERD_CHOICE *raw_choice)
Public Member Functions inherited from tesseract::Wordrec
| Wordrec ()
virtual | ~Wordrec ()
void | CopyCharChoices (const BLOB_CHOICE_LIST_VECTOR &from, BLOB_CHOICE_LIST_VECTOR *to)
bool | ChoiceIsCorrect (const UNICHARSET &uni_set, const WERD_CHOICE *choice, const GenericVector< STRING > &truth_text)
void | SaveAltChoices (const LIST &best_choices, WERD_RES *word)
void | FillLattice (const MATRIX &ratings, const LIST &best_choices, const UNICHARSET &unicharset, BlamerBundle *blamer_bundle)
void | CallFillLattice (const MATRIX &ratings, const LIST &best_choices, const UNICHARSET &unicharset, BlamerBundle *blamer_bundle)
void | update_ratings (const BLOB_CHOICE_LIST_VECTOR &new_choices, const CHUNKS_RECORD *chunks_record, const SEARCH_STATE search_state)
void | SegSearch (CHUNKS_RECORD *chunks_record, WERD_CHOICE *best_choice, BLOB_CHOICE_LIST_VECTOR *best_char_choices, WERD_CHOICE *raw_choice, STATE *output_best_state, BlamerBundle *blamer_bundle)
SEAM * | attempt_blob_chop (TWERD *word, TBLOB *blob, inT32 blob_number, bool italic_blob, SEAMS seam_list)
SEAM * | chop_numbered_blob (TWERD *word, inT32 blob_number, bool italic_blob, SEAMS seam_list)
SEAM * | chop_overlapping_blob (const GenericVector< TBOX > &boxes, WERD_RES *word_res, inT32 *blob_number, bool italic_blob, SEAMS seam_list)
void | junk_worst_seam (SEAM_QUEUE seams, SEAM *new_seam, float new_priority)
void | choose_best_seam (SEAM_QUEUE seam_queue, SEAM_PILE *seam_pile, SPLIT *split, PRIORITY priority, SEAM **seam_result, TBLOB *blob)
void | combine_seam (SEAM_QUEUE seam_queue, SEAM_PILE seam_pile, SEAM *seam)
inT16 | constrained_split (SPLIT *split, TBLOB *blob)
void | delete_seam_pile (SEAM_PILE seam_pile)
SEAM * | pick_good_seam (TBLOB *blob)
PRIORITY | seam_priority (SEAM *seam, inT16 xmin, inT16 xmax)
void | try_point_pairs (EDGEPT *points[MAX_NUM_POINTS], inT16 num_points, SEAM_QUEUE seam_queue, SEAM_PILE *seam_pile, SEAM **seam, TBLOB *blob)
void | try_vertical_splits (EDGEPT *points[MAX_NUM_POINTS], inT16 num_points, EDGEPT_CLIST *new_points, SEAM_QUEUE seam_queue, SEAM_PILE *seam_pile, SEAM **seam, TBLOB *blob)
PRIORITY | full_split_priority (SPLIT *split, inT16 xmin, inT16 xmax)
PRIORITY | grade_center_of_blob (register BOUNDS_RECT rect)
PRIORITY | grade_overlap (register BOUNDS_RECT rect)
PRIORITY | grade_split_length (register SPLIT *split)
PRIORITY | grade_sharpness (register SPLIT *split)
PRIORITY | grade_width_change (register BOUNDS_RECT rect)
void | set_outline_bounds (register EDGEPT *point1, register EDGEPT *point2, BOUNDS_RECT rect)
int | crosses_outline (EDGEPT *p0, EDGEPT *p1, EDGEPT *outline)
int | is_crossed (TPOINT a0, TPOINT a1, TPOINT b0, TPOINT b1)
int | is_same_edgept (EDGEPT *p1, EDGEPT *p2)
bool | near_point (EDGEPT *point, EDGEPT *line_pt_0, EDGEPT *line_pt_1, EDGEPT **near_pt)
void | reverse_outline (EDGEPT *outline)
virtual BLOB_CHOICE_LIST * | classify_piece (TBLOB *pieces, const DENORM &denorm, SEAMS seams, inT16 start, inT16 end, BlamerBundle *blamer_bundle)
void | merge_fragments (MATRIX *ratings, inT16 num_blobs)
void | get_fragment_lists (inT16 current_frag, inT16 current_row, inT16 start, inT16 num_frag_parts, inT16 num_blobs, MATRIX *ratings, BLOB_CHOICE_LIST *choice_lists)
void | merge_and_put_fragment_lists (inT16 row, inT16 column, inT16 num_frag_parts, BLOB_CHOICE_LIST *choice_lists, MATRIX *ratings)
void | fill_filtered_fragment_list (BLOB_CHOICE_LIST *choices, int fragment_pos, int num_frag_parts, BLOB_CHOICE_LIST *filtered_choices)
BLOB_CHOICE_LIST * | get_piece_rating (MATRIX *ratings, TBLOB *blobs, const DENORM &denorm, SEAMS seams, inT16 start, inT16 end, BlamerBundle *blamer_bundle)
TBOX * | record_blob_bounds (TBLOB *blobs)
MATRIX * | record_piece_ratings (TBLOB *blobs)
WIDTH_RECORD * | state_char_widths (WIDTH_RECORD *chunk_widths, STATE *state, int num_joints)
FLOAT32 | get_width_variance (WIDTH_RECORD *wrec, float norm_height)
FLOAT32 | get_gap_variance (WIDTH_RECORD *wrec, float norm_height)
FLOAT32 | prioritize_state (CHUNKS_RECORD *chunks_record, SEARCH_RECORD *the_search)
FLOAT32 | width_priority (CHUNKS_RECORD *chunks_record, STATE *state, int num_joints)
FLOAT32 | seamcut_priority (SEAMS seams, STATE *state, int num_joints)
FLOAT32 | rating_priority (CHUNKS_RECORD *chunks_record, STATE *state, int num_joints)
void | program_editup (const char *textbase, bool init_classifier, bool init_permute)
BLOB_CHOICE_LIST_VECTOR * | cc_recog (WERD_RES *word)
void | program_editdown (inT32 elasped_time)
void | set_pass1 ()
void | set_pass2 ()
int | end_recog ()
BLOB_CHOICE_LIST * | call_matcher (const DENORM *denorm, TBLOB *blob)
int | dict_word (const WERD_CHOICE &word)
BLOB_CHOICE_LIST * | classify_blob (TBLOB *blob, const DENORM &denorm, const char *string, C_COL color, BlamerBundle *blamer_bundle)
BLOB_CHOICE_LIST * | fake_classify_blob (UNICHAR_ID class_id, float rating, float certainty)
void | update_blob_classifications (TWERD *word, const BLOB_CHOICE_LIST_VECTOR &choices)
BLOB_CHOICE_LIST_VECTOR * | evaluate_chunks (CHUNKS_RECORD *chunks_record, SEARCH_STATE search_state, BlamerBundle *blamer_bundle)
void | best_first_search (CHUNKS_RECORD *chunks_record, BLOB_CHOICE_LIST_VECTOR *best_char_choices, WERD_RES *word, STATE *state, DANGERR *fixpt, STATE *best_state)
void | delete_search (SEARCH_RECORD *the_search)
inT16 | evaluate_state (CHUNKS_RECORD *chunks_record, SEARCH_RECORD *the_search, DANGERR *fixpt, BlamerBundle *blamer_bundle)
BLOB_CHOICE_LIST_VECTOR * | rebuild_current_state (WERD_RES *word, STATE *state, BLOB_CHOICE_LIST_VECTOR *char_choices, MATRIX *ratings)
SEARCH_RECORD * | new_search (CHUNKS_RECORD *chunks_record, int num_joints, BLOB_CHOICE_LIST_VECTOR *best_char_choices, WERD_CHOICE *best_choice, WERD_CHOICE *raw_choice, STATE *state)
void | expand_node (FLOAT32 worst_priority, CHUNKS_RECORD *chunks_record, SEARCH_RECORD *the_search)
void | replace_char_widths (CHUNKS_RECORD *chunks_record, SEARCH_STATE state)
BLOB_CHOICE * | rebuild_fragments (const char *unichar, const char *expanded_fragment_lengths, int choice_index, BLOB_CHOICE_LIST_VECTOR *old_choices)
BLOB_CHOICE_LIST * | join_blobs_and_classify (WERD_RES *word, int x, int y, int choice_index, MATRIX *ratings, BLOB_CHOICE_LIST_VECTOR *old_choices)
STATE * | pop_queue (HEAP *queue)
void | push_queue (HEAP *queue, STATE *state, FLOAT32 worst_priority, FLOAT32 priority, bool debug)
PRIORITY | point_priority (EDGEPT *point)
void | add_point_to_list (POINT_GROUP point_list, EDGEPT *point)
int | angle_change (EDGEPT *point1, EDGEPT *point2, EDGEPT *point3)
int | is_little_chunk (EDGEPT *point1, EDGEPT *point2)
int | is_small_area (EDGEPT *point1, EDGEPT *point2)
EDGEPT * | pick_close_point (EDGEPT *critical_point, EDGEPT *vertical_point, int *best_dist)
void | prioritize_points (TESSLINE *outline, POINT_GROUP points)
void | new_min_point (EDGEPT *local_min, POINT_GROUP points)
void | new_max_point (EDGEPT *local_max, POINT_GROUP points)
void | vertical_projection_point (EDGEPT *split_point, EDGEPT *target_point, EDGEPT **best_point, EDGEPT_CLIST *new_points)
bool | improve_one_blob (WERD_RES *word_res, BLOB_CHOICE_LIST_VECTOR *char_choices, inT32 *blob_number, SEAMS *seam_list, DANGERR *fixpt, bool split_next_to_fragment, BlamerBundle *blamer_bundle)
void | modify_blob_choice (BLOB_CHOICE_LIST *answer, int chop_index)
bool | chop_one_blob (TWERD *word, BLOB_CHOICE_LIST_VECTOR *char_choices, inT32 *blob_number, SEAMS *seam_list, int *right_chop_index)
bool | chop_one_blob2 (const GenericVector< TBOX > &boxes, WERD_RES *word_res, SEAMS *seam_list)
BLOB_CHOICE_LIST_VECTOR * | chop_word_main (WERD_RES *word)
void | improve_by_chopping (WERD_RES *word, BLOB_CHOICE_LIST_VECTOR *char_choices, STATE *best_state, BLOB_CHOICE_LIST_VECTOR *best_char_choices, DANGERR *fixpt, bool *updated_best_choice)
MATRIX * | word_associator (bool only_create_ratings_matrtix, WERD_RES *word, STATE *state, BLOB_CHOICE_LIST_VECTOR *best_char_choices, DANGERR *fixpt, STATE *best_state)
inT16 | select_blob_to_split (const BLOB_CHOICE_LIST_VECTOR &char_choices, float rating_ceiling, bool split_next_to_fragment)
inT16 | select_blob_to_split_from_fixpt (DANGERR *fixpt)
void | set_chopper_blame (WERD_RES *word)
Public Member Functions inherited from tesseract::Classify
| Classify ()
virtual | ~Classify ()
Dict & | getDict ()
const ShapeTable * | shape_table () const
ADAPT_TEMPLATES | NewAdaptedTemplates (bool InitFromUnicharset)
int | GetFontinfoId (ADAPT_CLASS Class, uinT8 ConfigId)
int | PruneClasses (const INT_TEMPLATES_STRUCT *int_templates, int num_features, const INT_FEATURE_STRUCT *features, const uinT8 *normalization_factors, const uinT16 *expected_num_features, CP_RESULT_STRUCT *results)
void | ReadNewCutoffs (FILE *CutoffFile, bool swap, inT64 end_offset, CLASS_CUTOFF_ARRAY Cutoffs)
void | PrintAdaptedTemplates (FILE *File, ADAPT_TEMPLATES Templates)
void | WriteAdaptedTemplates (FILE *File, ADAPT_TEMPLATES Templates)
ADAPT_TEMPLATES | ReadAdaptedTemplates (FILE *File)
FLOAT32 | ComputeNormMatch (CLASS_ID ClassId, const FEATURE_STRUCT &feature, BOOL8 DebugMatch)
void | FreeNormProtos ()
NORM_PROTOS * | ReadNormProtos (FILE *File, inT64 end_offset)
void | ConvertProto (PROTO Proto, int ProtoId, INT_CLASS Class)
INT_TEMPLATES | CreateIntTemplates (CLASSES FloatProtos, const UNICHARSET &target_unicharset)
void | LearnWord (const char *filename, const char *rejmap, WERD_RES *word)
void | LearnPieces (const char *filename, int start, int length, float threshold, CharSegmentationType segmentation, const char *correct_text, WERD_RES *word)
void | InitAdaptiveClassifier (bool load_pre_trained_templates)
void | InitAdaptedClass (TBLOB *Blob, const DENORM &denorm, CLASS_ID ClassId, int FontinfoId, ADAPT_CLASS Class, ADAPT_TEMPLATES Templates)
void | AdaptToPunc (TBLOB *Blob, const DENORM &denorm, CLASS_ID ClassId, int FontinfoId, FLOAT32 Threshold)
void | AmbigClassifier (TBLOB *Blob, const DENORM &denorm, INT_TEMPLATES Templates, ADAPT_CLASS *Classes, UNICHAR_ID *Ambiguities, ADAPT_RESULTS *Results)
void | MasterMatcher (INT_TEMPLATES templates, inT16 num_features, const INT_FEATURE_STRUCT *features, const uinT8 *norm_factors, ADAPT_CLASS *classes, int debug, int num_classes, const TBOX &blob_box, CLASS_PRUNER_RESULTS results, ADAPT_RESULTS *final_results)
void | ExpandShapesAndApplyCorrections (ADAPT_CLASS *classes, bool debug, int class_id, int bottom, int top, float cp_rating, int blob_length, const uinT8 *cn_factors, INT_RESULT_STRUCT &int_result, ADAPT_RESULTS *final_results)
double | ComputeCorrectedRating (bool debug, int unichar_id, double cp_rating, double im_rating, int feature_misses, int bottom, int top, int blob_length, const uinT8 *cn_factors)
void | ConvertMatchesToChoices (const DENORM &denorm, const TBOX &box, ADAPT_RESULTS *Results, BLOB_CHOICE_LIST *Choices)
void | AddNewResult (ADAPT_RESULTS *results, CLASS_ID class_id, int shape_id, FLOAT32 rating, bool adapted, int config, int fontinfo_id, int fontinfo_id2)
int | GetAdaptiveFeatures (TBLOB *Blob, INT_FEATURE_ARRAY IntFeatures, FEATURE_SET *FloatFeatures)
void | DebugAdaptiveClassifier (TBLOB *Blob, const DENORM &denorm, ADAPT_RESULTS *Results)
void | GetAdaptThresholds (TWERD *Word, const DENORM &denorm, const WERD_CHOICE &BestChoice, const WERD_CHOICE &BestRawChoice, FLOAT32 Thresholds[])
PROTO_ID | MakeNewTempProtos (FEATURE_SET Features, int NumBadFeat, FEATURE_ID BadFeat[], INT_CLASS IClass, ADAPT_CLASS Class, BIT_VECTOR TempProtoMask)
int | MakeNewTemporaryConfig (ADAPT_TEMPLATES Templates, CLASS_ID ClassId, int FontinfoId, int NumFeatures, INT_FEATURE_ARRAY Features, FEATURE_SET FloatFeatures)
void | MakePermanent (ADAPT_TEMPLATES Templates, CLASS_ID ClassId, int ConfigId, const DENORM &denorm, TBLOB *Blob)
void | PrintAdaptiveMatchResults (FILE *File, ADAPT_RESULTS *Results)
void | RemoveExtraPuncs (ADAPT_RESULTS *Results)
void | RemoveBadMatches (ADAPT_RESULTS *Results)
void | SetAdaptiveThreshold (FLOAT32 Threshold)
void | ShowBestMatchFor (TBLOB *Blob, const DENORM &denorm, CLASS_ID ClassId, int shape_id, BOOL8 AdaptiveOn, BOOL8 PreTrainedOn, ADAPT_RESULTS *Results)
STRING | ClassIDToDebugStr (const INT_TEMPLATES_STRUCT *templates, int class_id, int config_id) const
int | ClassAndConfigIDToFontOrShapeID (int class_id, int int_result_config) const
int | ShapeIDToClassID (int shape_id) const
UNICHAR_ID * | BaselineClassifier (TBLOB *Blob, const DENORM &denorm, ADAPT_TEMPLATES Templates, ADAPT_RESULTS *Results)
int | CharNormClassifier (TBLOB *Blob, const DENORM &denorm, INT_TEMPLATES Templates, ADAPT_RESULTS *Results)
int | CharNormTrainingSample (bool pruner_only, const TrainingSample &sample, GenericVector< ShapeRating > *results)
UNICHAR_ID * | GetAmbiguities (TBLOB *Blob, const DENORM &denorm, CLASS_ID CorrectClass)
void | DoAdaptiveMatch (TBLOB *Blob, const DENORM &denorm, ADAPT_RESULTS *Results)
void | AdaptToChar (TBLOB *Blob, const DENORM &denorm, CLASS_ID ClassId, int FontinfoId, FLOAT32 Threshold)
void | DisplayAdaptedChar (TBLOB *blob, const DENORM &denorm, INT_CLASS_STRUCT *int_class)
int | AdaptableWord (TWERD *Word, const WERD_CHOICE &BestChoiceWord, const WERD_CHOICE &RawChoiceWord)
void | EndAdaptiveClassifier ()
void | PrintAdaptiveStatistics (FILE *File)
void | SettupPass1 ()
void | SettupPass2 ()
void | AdaptiveClassifier (TBLOB *Blob, const DENORM &denorm, BLOB_CHOICE_LIST *Choices, CLASS_PRUNER_RESULTS cp_results)
void | ClassifyAsNoise (ADAPT_RESULTS *Results)
void | ResetAdaptiveClassifierInternal ()
int | GetBaselineFeatures (TBLOB *Blob, const DENORM &denorm, INT_TEMPLATES Templates, INT_FEATURE_ARRAY IntFeatures, uinT8 *CharNormArray, inT32 *BlobLength)
int | GetCharNormFeatures (TBLOB *Blob, const DENORM &denorm, INT_TEMPLATES Templates, INT_FEATURE_ARRAY IntFeatures, uinT8 *PrunerNormArray, uinT8 *CharNormArray, inT32 *BlobLength, inT32 *FeatureOutlineIndex)
void | ComputeCharNormArrays (FEATURE_STRUCT *norm_feature, INT_TEMPLATES_STRUCT *templates, uinT8 *char_norm_array, uinT8 *pruner_array)
bool | TempConfigReliable (CLASS_ID class_id, const TEMP_CONFIG &config)
void | UpdateAmbigsGroup (CLASS_ID class_id, const DENORM &denorm, TBLOB *Blob)
void | ResetFeaturesHaveBeenExtracted ()
bool | AdaptiveClassifierIsFull ()
bool | LooksLikeGarbage (const DENORM &denorm, TBLOB *blob)
void | RefreshDebugWindow (ScrollView **win, const char *msg, int y_offset, const TBOX &wbox)
void | ClearCharNormArray (uinT8 *char_norm_array)
void | ComputeIntCharNormArray (const FEATURE_STRUCT &norm_feature, uinT8 *char_norm_array)
void | ComputeIntFeatures (FEATURE_SET Features, INT_FEATURE_ARRAY IntFeatures)
INT_TEMPLATES | ReadIntTemplates (FILE *File)
void | WriteIntTemplates (FILE *File, INT_TEMPLATES Templates, const UNICHARSET &target_unicharset)
CLASS_ID | GetClassToDebug (const char *Prompt, bool *adaptive_on, bool *pretrained_on, int *shape_id)
void | ShowMatchDisplay ()
UnicityTable< FontInfo > & | get_fontinfo_table ()
UnicityTable< FontSet > & | get_fontset_table ()
void | NormalizeOutlines (LIST Outlines, FLOAT32 *XScale, FLOAT32 *YScale)
FEATURE_SET | ExtractOutlineFeatures (TBLOB *Blob)
FEATURE_SET | ExtractPicoFeatures (TBLOB *Blob)
void | ReadClassFile ()
Public Member Functions inherited from tesseract::CCStruct
| CCStruct ()
| ~CCStruct ()
Public Member Functions inherited from tesseract::CUtil
| CUtil ()
| ~CUtil ()
void | read_variables (const char *filename, bool global_only)
Public Member Functions inherited from tesseract::CCUtil
| CCUtil ()
virtual | ~CCUtil ()
void | main_setup (const char *argv0, const char *basename)
ParamsVectors * | params ()

## Public Attributes

bool | tessedit_resegment_from_boxes = false
bool | tessedit_resegment_from_line_boxes = false
bool | tessedit_train_from_boxes = false
bool | tessedit_make_boxes_from_boxes = false
bool | tessedit_dump_pageseg_images = false
int | tessedit_pageseg_mode = PSM_SINGLE_BLOCK
int | tessedit_ocr_engine_mode = tesseract::OEM_TESSERACT_ONLY
char * | tessedit_char_blacklist = ""
char * | tessedit_char_whitelist = ""
bool | tessedit_ambigs_training = false
int | pageseg_devanagari_split_strategy = tesseract::ShiroRekhaSplitter::NO_SPLIT
int | ocr_devanagari_split_strategy = tesseract::ShiroRekhaSplitter::NO_SPLIT
char * | tessedit_write_params_to_file = ""
bool | tessedit_adapt_to_char_fragments = true
bool | tessedit_adaption_debug = false
int | bidi_debug = 0
int | applybox_debug = 1
int | applybox_page = 0
char * | applybox_exposure_pattern = ".exp"
bool | applybox_learn_chars_and_char_frags_mode = false
bool | applybox_learn_ngrams_mode = false
bool | tessedit_display_outwords = false
bool | tessedit_training_tess = false
bool | tessedit_dump_choices = false
bool | tessedit_fix_fuzzy_spaces = true
bool | tessedit_unrej_any_wd = false
bool | tessedit_fix_hyphens = true
bool | tessedit_redo_xheight = true
bool | tessedit_enable_doc_dict = true
bool | tessedit_debug_fonts = false
bool | tessedit_debug_block_rejection = false
bool | tessedit_enable_bigram_correction = false
int | tessedit_bigram_debug = 0
int | debug_x_ht_level = 0
bool | debug_acceptable_wds = false
char * | chs_leading_punct = "('`\""
char * | chs_trailing_punct1 = ").,;:?!"
char * | chs_trailing_punct2 = ")'`\""
double | quality_rej_pc = 0.08
double | quality_blob_pc = 0.0
double | quality_outline_pc = 1.0
double | quality_char_pc = 0.95
int | quality_min_initial_alphas_reqd = 2
bool | tessedit_tess_adapt_to_rejmap = false
int | tessedit_tess_adaption_mode = 0x27
bool | tessedit_minimal_rej_pass1 = false
bool | tessedit_test_adaption = false
bool | tessedit_matcher_log = false
int | tessedit_test_adaption_mode = 3
bool | save_blob_choices = false
bool | test_pt = false
double | test_pt_x = 99999.99
double | test_pt_y = 99999.99
int | paragraph_debug_level = 0
int | cube_debug_level = 1
char * | outlines_odd = "%| "
char * | outlines_2 = "ij!?%\":;"
bool | docqual_excuse_outline_errs = false
bool | tessedit_good_quality_unrej = true
bool | tessedit_use_reject_spaces = true
double | tessedit_reject_doc_percent = 65.00
double | tessedit_reject_block_percent = 45.00
double | tessedit_reject_row_percent = 40.00
double | tessedit_whole_wd_rej_row_percent = 70.00
bool | tessedit_preserve_blk_rej_perfect_wds = true
bool | tessedit_preserve_row_rej_perfect_wds = true
bool | tessedit_dont_blkrej_good_wds = false
bool | tessedit_dont_rowrej_good_wds = false
int | tessedit_preserve_min_wd_len = 2
bool | tessedit_row_rej_good_docs = true
double | tessedit_good_doc_still_rowrej_wd = 1.1
bool | tessedit_reject_bad_qual_wds = true
bool | tessedit_debug_doc_rejection = false
bool | tessedit_debug_quality_metrics = false
bool | bland_unrej = false
double | quality_rowrej_pc = 1.1
bool | unlv_tilde_crunching = true
bool | crunch_early_merge_tess_fails = true
bool | crunch_early_convert_bad_unlv_chs = false
double | crunch_terrible_rating = 80.0
bool | crunch_terrible_garbage = true
double | crunch_poor_garbage_cert = -9.0
double | crunch_poor_garbage_rate = 60
double | crunch_pot_poor_rate = 40
double | crunch_pot_poor_cert = -8.0
bool | crunch_pot_garbage = true
double | crunch_del_rating = 60
double | crunch_del_cert = -10.0
double | crunch_del_min_ht = 0.7
double | crunch_del_max_ht = 3.0
double | crunch_del_min_width = 3.0
double | crunch_del_high_word = 1.5
double | crunch_del_low_word = 0.5
double | crunch_small_outlines_size = 0.6
int | crunch_rating_max = 10
int | crunch_pot_indicators = 1
bool | crunch_leave_ok_strings = true
bool | crunch_accept_ok = true
bool | crunch_leave_accept_strings = false
bool | crunch_include_numerals = false
int | crunch_leave_lc_strings = 4
int | crunch_leave_uc_strings = 4
int | crunch_long_repetitions = 3
int | crunch_debug = 0
int | fixsp_non_noise_limit = 1
double | fixsp_small_outlines_size = 0.28
bool | tessedit_prefer_joined_punct = false
int | fixsp_done_mode = 1
int | debug_fix_space_level = 0
char * | numeric_punctuation = ".,"
int | x_ht_acceptance_tolerance = 8
int | x_ht_min_change = 8
bool | tessedit_write_block_separators = false
bool | tessedit_write_rep_codes = false
bool | tessedit_write_unlv = false
bool | tessedit_create_hocr = false
char * | unrecognised_char = "|"
int | suspect_level = 99
int | suspect_space_level = 100
int | suspect_short_words = 2
bool | suspect_constrain_1Il = false
double | suspect_rating_per_ch = 999.9
double | suspect_accept_rating = -999.9
bool | tessedit_minimal_rejection = false
bool | tessedit_zero_rejection = false
bool | tessedit_word_for_word = false
bool | tessedit_zero_kelvin_rejection = false
bool | tessedit_consistent_reps = true
int | tessedit_reject_mode = 0
int | tessedit_ok_mode = 5
bool | tessedit_rejection_debug = false
bool | tessedit_flip_0O = true
double | tessedit_lower_flip_hyphen = 1.5
double | tessedit_upper_flip_hyphen = 1.8
bool | rej_trust_doc_dawg = false
bool | rej_1Il_use_dict_word = false
bool | rej_1Il_trust_permuter_type = true
bool | rej_use_tess_accepted = true
bool | rej_use_tess_blanks = true
bool | rej_use_good_perm = true
bool | rej_use_sensible_wd = false
bool | rej_alphas_in_number_perm = false
double | rej_whole_of_mostly_reject_word_fract = 0.85
int | tessedit_image_border = 2
char * | ok_repeated_ch_non_alphanum_wds = "-?*\075"
char * | conflict_set_I_l_1 = "Il1[]"
int | min_sane_x_ht_pixels = 8
bool | tessedit_create_boxfile = false
int | tessedit_page_number = -1
bool | tessedit_write_images = false
bool | interactive_display_mode = false
char * | file_type = ".tif"
bool | tessedit_override_permuter = true
int | tessdata_manager_debug_level = 0
char * | tessedit_load_sublangs = ""
double | min_orientation_margin = 7.0
bool | textord_tabfind_show_vlines = false
bool | textord_use_cjk_fp_model = FALSE
bool | tessedit_init_config_only = false
bool | textord_equation_detect = false
Public Attributes inherited from tesseract::Wordrec
bool | merge_fragments_in_matrix = TRUE
bool | wordrec_no_block = FALSE
bool | wordrec_enable_assoc = TRUE
bool | force_word_assoc = FALSE
int | wordrec_num_seg_states = 30
double | wordrec_worst_state = 1
bool | fragments_guide_chopper = FALSE
int | repair_unchopped_blobs = 1
double | tessedit_certainty_threshold = -2.25
int | chop_debug = 0
bool | chop_enable = 1
bool | chop_vertical_creep = 0
int | chop_split_length = 10000
int | chop_same_distance = 2
int | chop_min_outline_points = 6
int | chop_inside_angle = -50
int | chop_min_outline_area = 2000
double | chop_split_dist_knob = 0.5
double | chop_overlap_knob = 0.9
double | chop_center_knob = 0.15
double | chop_sharpness_knob = 0.06
double | chop_width_change_knob = 5.0
double | chop_ok_split = 100.0
double | chop_good_split = 50.0
int | chop_x_y_weight = 3
int | segment_adjust_debug = 0
bool | assume_fixed_pitch_char_segment = FALSE
bool | use_new_state_cost = FALSE
double | heuristic_segcost_rating_base = 1.25
double | heuristic_weight_rating = 1
double | heuristic_weight_width = 0
double | heuristic_weight_seamcut = 0
double | heuristic_max_char_wh_ratio = 2.0
int | wordrec_debug_level = 0
bool | wordrec_debug_blamer = false
bool | wordrec_run_blamer = false
bool | enable_new_segsearch = false
int | segsearch_debug_level = 0
int | segsearch_max_pain_points = 2000
int | segsearch_max_futile_classifications = 10
double | segsearch_max_char_wh_ratio = 2.0
double | segsearch_max_fixed_pitch_char_wh_ratio = 2.0
bool | save_alt_choices = false
LanguageModel * | language_model_
PRIORITY | pass2_ok_split
int | pass2_seg_states
int | num_joints
int | num_pushed
int | num_popped
BlobMatchTable | blob_match_table
EVALUATION_ARRAY | last_segmentation
WERD_CHOICE * | prev_word_best_choice_
GenericVector< int > | blame_reasons_
void(Wordrec::* | fill_lattice_ )(const MATRIX &ratings, const LIST &best_choices, const UNICHARSET &unicharset, BlamerBundle *blamer_bundle)
Public Attributes inherited from tesseract::Classify
bool | prioritize_division = FALSE
int | tessedit_single_match = FALSE
bool | classify_enable_learning = true
int | classify_debug_level = 0
int | classify_norm_method = character
double | classify_char_norm_range = 0.2
double | classify_min_norm_scale_x = 0.0
double | classify_max_norm_scale_x = 0.325
double | classify_min_norm_scale_y = 0.0
double | classify_max_norm_scale_y = 0.325
bool | tess_cn_matching = 0
bool | tess_bn_matching = 0
bool | classify_enable_adaptive_matcher = 1
bool | classify_use_pre_adapted_templates = 0
bool | classify_save_adapted_templates = 0
bool | classify_enable_adaptive_debugger = 0
int | matcher_debug_level = 0
int | matcher_debug_flags = 0
int | classify_learning_debug_level = 0
double | matcher_good_threshold = 0.125
double | matcher_great_threshold = 0.0
double | matcher_perfect_threshold = 0.02
double | matcher_bad_match_pad = 0.15
double | matcher_rating_margin = 0.1
double | matcher_avg_noise_size = 12.0
int | matcher_permanent_classes_min = 1
int | matcher_min_examples_for_prototyping = 3
int | matcher_sufficient_examples_for_prototyping = 5
double | matcher_clustering_max_angle_delta = 0.015
double | classify_misfit_junk_penalty = 0.0
double | rating_scale = 1.5
double | certainty_scale = 20.0
double | tessedit_class_miss_scale = 0.00390625
int | classify_adapt_proto_threshold = 230
int | classify_adapt_feature_threshold = 230
bool | disable_character_fragments = TRUE
double | classify_character_fragments_garbage_certainty_threshold = -3.0
bool | classify_debug_character_fragments = FALSE
bool | matcher_debug_separate_windows = FALSE
char * | classify_learn_debug_str = ""
int | classify_class_pruner_threshold = 229
int | classify_class_pruner_multiplier = 30
int | classify_cp_cutoff_strength = 7
int | classify_integer_matcher_multiplier = 14
INT_TEMPLATES | PreTrainedTemplates
ADAPT_TEMPLATES | AdaptedTemplates
BIT_VECTOR | AllProtosOn
BIT_VECTOR | PrunedProtos
BIT_VECTOR | AllConfigsOn
BIT_VECTOR | AllProtosOff
BIT_VECTOR | AllConfigsOff
BIT_VECTOR | TempProtoMask
bool | EnableLearning
NORM_PROTOS * | NormProtos
UnicityTable< FontInfo > | fontinfo_table_
UnicityTable< FontSet > | fontset_table_
int | il1_adaption_test = 0
bool | classify_bln_numeric_mode = 0

## Additional Inherited Members

Protected Member Functions inherited from tesseract::Wordrec
bool | SegSearchDone (int num_futile_classifications)
void | UpdateSegSearchNodes (int starting_col, SEG_SEARCH_PENDING_LIST *pending[], BestPathByColumn *best_path_by_column[], CHUNKS_RECORD *chunks_record, HEAP *pain_points, BestChoiceBundle *best_choice_bundle, BlamerBundle *blamer_bundle)
void | ProcessSegSearchPainPoint (float pain_point_priority, const MATRIX_COORD &pain_point, const WERD_CHOICE *best_choice, SEG_SEARCH_PENDING_LIST *pending[], CHUNKS_RECORD *chunks_record, HEAP *pain_points, BlamerBundle *blamer_bundle)
void | InitBlamerForSegSearch (const WERD_CHOICE *best_choice, CHUNKS_RECORD *chunks_record, HEAP *pain_points, BlamerBundle *blamer_bundle, STRING *blamer_debug)
void | FinishBlamerForSegSearch (const WERD_CHOICE *best_choice, BlamerBundle *blamer_bundle, STRING *blamer_debug)

## Detailed Description

Definition at line 139 of file tesseractclass.h.

## Constructor & Destructor Documentation

tesseract::Tesseract::Tesseract | ( |  | ) |

Definition at line 37 of file tesseractclass.cpp.

: BOOL_MEMBER(tessedit_resegment_from_boxes, false,
"Take segmentation and labeling from box file",
this->params()),
BOOL_MEMBER(tessedit_resegment_from_line_boxes, false,
"Conversion of word/line box file to char box file",
this->params()),
BOOL_MEMBER(tessedit_train_from_boxes, false,
"Generate training data from boxed chars", this->params()),
BOOL_MEMBER(tessedit_make_boxes_from_boxes, false,
"Generate more boxes from boxed chars", this->params()),
BOOL_MEMBER(tessedit_dump_pageseg_images, false,
"Dump intermediate images made during page segmentation",
this->params()),
// The default for pageseg_mode is the old behaviour, so as not to
// upset anything that relies on that.
INT_MEMBER(tessedit_pageseg_mode, PSM_SINGLE_BLOCK,
"Page seg mode: 0=osd only, 1=auto+osd, 2=auto, 3=col, 4=block,"
" 5=line, 6=word, 7=char"
" (Values from PageSegMode enum in publictypes.h)",
this->params()),
INT_INIT_MEMBER(tessedit_ocr_engine_mode, tesseract::OEM_TESSERACT_ONLY,
"Which OCR engine(s) to run (Tesseract, Cube, both)."
" Defaults to loading and running only Tesseract"
" (no Cube,no combiner)."
" Values from OcrEngineMode enum in tesseractclass.h)",
this->params()),
STRING_MEMBER(tessedit_char_blacklist, "",
"Blacklist of chars not to recognize", this->params()),
STRING_MEMBER(tessedit_char_whitelist, "",
"Whitelist of chars to recognize", this->params()),
BOOL_MEMBER(tessedit_ambigs_training, false,
"Perform training for ambiguities", this->params()),
INT_MEMBER(pageseg_devanagari_split_strategy,
tesseract::ShiroRekhaSplitter::NO_SPLIT,
"Whether to use the top-line splitting process for Devanagari "
"documents while performing page-segmentation.", this->params()),
INT_MEMBER(ocr_devanagari_split_strategy,
tesseract::ShiroRekhaSplitter::NO_SPLIT,
"Whether to use the top-line splitting process for Devanagari "
"documents while performing ocr.", this->params()),
STRING_MEMBER(tessedit_write_params_to_file, "",
"Write all parameters to the given file.", this->params()),
BOOL_MEMBER(tessedit_adapt_to_char_fragments, true,
"Adapt to words that contain "
" a character composed form fragments", this->params()),
BOOL_MEMBER(tessedit_adaption_debug, false, "Generate and print debug"
" information for adaption", this->params()),
INT_MEMBER(bidi_debug, 0, "Debug level for BiDi", this->params()),
INT_MEMBER(applybox_debug, 1, "Debug level", this->params()),
INT_MEMBER(applybox_page, 0,
"Page number to apply boxes from", this->params()),
STRING_MEMBER(applybox_exposure_pattern, ".exp", "Exposure value follows"
" this pattern in the image filename. The name of the image"
" files are expected to be in the form"
" [lang].[fontname].exp[num].tif", this->params()),
BOOL_MEMBER(applybox_learn_chars_and_char_frags_mode, false,
"Learn both character fragments (as is done in the"
" special low exposure mode) as well as unfragmented"
" characters.", this->params()),
BOOL_MEMBER(applybox_learn_ngrams_mode, false, "Each bounding box"
" is assumed to contain ngrams. Only learn the ngrams"
" whose outlines overlap horizontally.", this->params()),
BOOL_MEMBER(tessedit_display_outwords, false,
"Draw output words", this->params()),
BOOL_MEMBER(tessedit_training_tess, false,
"Call Tess to learn blobs", this->params()),
BOOL_MEMBER(tessedit_dump_choices, false,
"Dump char choices", this->params()),
BOOL_MEMBER(tessedit_fix_fuzzy_spaces, true,
"Try to improve fuzzy spaces", this->params()),
BOOL_MEMBER(tessedit_unrej_any_wd, false,
"Dont bother with word plausibility", this->params()),
BOOL_MEMBER(tessedit_fix_hyphens, true,
"Crunch double hyphens?", this->params()),
BOOL_MEMBER(tessedit_redo_xheight, true,
"Check/Correct x-height", this->params()),
BOOL_MEMBER(tessedit_enable_doc_dict, true,
"Add words to the document dictionary", this->params()),
BOOL_MEMBER(tessedit_debug_fonts, false,
"Output font info per char", this->params()),
BOOL_MEMBER(tessedit_debug_block_rejection, false,
"Block and Row stats", this->params()),
BOOL_MEMBER(tessedit_enable_bigram_correction, false,
"Enable correction based on the word bigram dictionary.",
this->params()),
INT_MEMBER(tessedit_bigram_debug, 0,
"Amount of debug output for bigram correction.",
this->params()),
INT_MEMBER(debug_x_ht_level, 0, "Reestimate debug", this->params()),
BOOL_MEMBER(debug_acceptable_wds, false,
"Dump word pass/fail chk", this->params()),
STRING_MEMBER(chs_leading_punct, "('`\"",
"Leading punctuation", this->params()),
STRING_MEMBER(chs_trailing_punct1, ").,;:?!",
"1st Trailing punctuation", this->params()),
STRING_MEMBER(chs_trailing_punct2, ")'`\"",
"2nd Trailing punctuation", this->params()),
double_MEMBER(quality_rej_pc, 0.08,
"good_quality_doc lte rejection limit", this->params()),
double_MEMBER(quality_blob_pc, 0.0,
"good_quality_doc gte good blobs limit", this->params()),
double_MEMBER(quality_outline_pc, 1.0,
"good_quality_doc lte outline error limit", this->params()),
double_MEMBER(quality_char_pc, 0.95,
"good_quality_doc gte good char limit", this->params()),
INT_MEMBER(quality_min_initial_alphas_reqd, 2,
"alphas in a good word", this->params()),
BOOL_MEMBER(tessedit_tess_adapt_to_rejmap, false,
"Use reject map to control Tesseract adaption", this->params()),
INT_MEMBER(tessedit_tess_adaption_mode, 0x27,
"Adaptation decision algorithm for tess", this->params()),
BOOL_MEMBER(tessedit_minimal_rej_pass1, false,
"Do minimal rejection on pass 1 output", this->params()),
BOOL_MEMBER(tessedit_test_adaption, false,
"Test adaption criteria", this->params()),
BOOL_MEMBER(tessedit_matcher_log, false,
"Log matcher activity", this->params()),
INT_MEMBER(tessedit_test_adaption_mode, 3,
"Adaptation decision algorithm for tess", this->params()),
BOOL_MEMBER(save_blob_choices, false,
"Save the results of the recognition step (blob_choices)"
" within the corresponding WERD_CHOICE", this->params()),
BOOL_MEMBER(test_pt, false, "Test for point", this->params()),
double_MEMBER(test_pt_x, 99999.99, "xcoord", this->params()),
double_MEMBER(test_pt_y, 99999.99, "ycoord", this->params()),
INT_MEMBER(paragraph_debug_level, 0, "Print paragraph debug info.",
this->params()),
INT_MEMBER(cube_debug_level, 0, "Print cube debug info.", this->params()),
STRING_MEMBER(outlines_odd, "%| ", "Non standard number of outlines",
this->params()),
STRING_MEMBER(outlines_2, "ij!?%\":;",
"Non standard number of outlines", this->params()),
BOOL_MEMBER(docqual_excuse_outline_errs, false,
"Allow outline errs in unrejection?", this->params()),
BOOL_MEMBER(tessedit_good_quality_unrej, true,
"Reduce rejection on good docs", this->params()),
BOOL_MEMBER(tessedit_use_reject_spaces, true,
"Reject spaces?", this->params()),
double_MEMBER(tessedit_reject_doc_percent, 65.00,
"%rej allowed before rej whole doc", this->params()),
double_MEMBER(tessedit_reject_block_percent, 45.00,
"%rej allowed before rej whole block", this->params()),
double_MEMBER(tessedit_reject_row_percent, 40.00,
"%rej allowed before rej whole row", this->params()),
double_MEMBER(tessedit_whole_wd_rej_row_percent, 70.00,
"Number of row rejects in whole word rejects"
"which prevents whole row rejection", this->params()),
BOOL_MEMBER(tessedit_preserve_blk_rej_perfect_wds, true,
"Only rej partially rejected words in block rejection",
this->params()),
BOOL_MEMBER(tessedit_preserve_row_rej_perfect_wds, true,
"Only rej partially rejected words in row rejection",
this->params()),
BOOL_MEMBER(tessedit_dont_blkrej_good_wds, false,
"Use word segmentation quality metric", this->params()),
BOOL_MEMBER(tessedit_dont_rowrej_good_wds, false,
"Use word segmentation quality metric", this->params()),
INT_MEMBER(tessedit_preserve_min_wd_len, 2,
"Only preserve wds longer than this", this->params()),
BOOL_MEMBER(tessedit_row_rej_good_docs, true,
"Apply row rejection to good docs", this->params()),
double_MEMBER(tessedit_good_doc_still_rowrej_wd, 1.1,
"rej good doc wd if more than this fraction rejected",
this->params()),
BOOL_MEMBER(tessedit_reject_bad_qual_wds, true,
"Reject all bad quality wds", this->params()),
BOOL_MEMBER(tessedit_debug_doc_rejection, false,
"Page stats", this->params()),
BOOL_MEMBER(tessedit_debug_quality_metrics, false,
"Output data to debug file", this->params()),
BOOL_MEMBER(bland_unrej, false,
"unrej potential with no chekcs", this->params()),
double_MEMBER(quality_rowrej_pc, 1.1,
"good_quality_doc gte good char limit", this->params()),
BOOL_MEMBER(unlv_tilde_crunching, true,
"Mark v.bad words for tilde crunch", this->params()),
BOOL_MEMBER(crunch_early_merge_tess_fails, true,
"Before word crunch?", this->params()),
BOOL_MEMBER(crunch_early_convert_bad_unlv_chs, false,
"Take out ~^ early?", this->params()),
double_MEMBER(crunch_terrible_rating, 80.0,
"crunch rating lt this", this->params()),
BOOL_MEMBER(crunch_terrible_garbage, true, "As it says", this->params()),
double_MEMBER(crunch_poor_garbage_cert, -9.0,
"crunch garbage cert lt this", this->params()),
double_MEMBER(crunch_poor_garbage_rate, 60,
"crunch garbage rating lt this", this->params()),
double_MEMBER(crunch_pot_poor_rate, 40,
"POTENTIAL crunch rating lt this", this->params()),
double_MEMBER(crunch_pot_poor_cert, -8.0,
"POTENTIAL crunch cert lt this", this->params()),
BOOL_MEMBER(crunch_pot_garbage, true,
"POTENTIAL crunch garbage", this->params()),
double_MEMBER(crunch_del_rating, 60,
"POTENTIAL crunch rating lt this", this->params()),
double_MEMBER(crunch_del_cert, -10.0,
"POTENTIAL crunch cert lt this", this->params()),
double_MEMBER(crunch_del_min_ht, 0.7,
"Del if word ht lt xht x this", this->params()),
double_MEMBER(crunch_del_max_ht, 3.0,
"Del if word ht gt xht x this", this->params()),
double_MEMBER(crunch_del_min_width, 3.0,
"Del if word width lt xht x this", this->params()),
double_MEMBER(crunch_del_high_word, 1.5,
"Del if word gt xht x this above bl", this->params()),
double_MEMBER(crunch_del_low_word, 0.5,
"Del if word gt xht x this below bl", this->params()),
double_MEMBER(crunch_small_outlines_size, 0.6,
"Small if lt xht x this", this->params()),
INT_MEMBER(crunch_rating_max, 10,
"For adj length in rating per ch", this->params()),
INT_MEMBER(crunch_pot_indicators, 1,
"How many potential indicators needed", this->params()),
BOOL_MEMBER(crunch_leave_ok_strings, true,
"Dont touch sensible strings", this->params()),
BOOL_MEMBER(crunch_accept_ok, true,
"Use acceptability in okstring", this->params()),
BOOL_MEMBER(crunch_leave_accept_strings, false,
"Dont pot crunch sensible strings", this->params()),
BOOL_MEMBER(crunch_include_numerals, false,
"Fiddle alpha figures", this->params()),
INT_MEMBER(crunch_leave_lc_strings, 4,
"Dont crunch words with long lower case strings",
this->params()),
INT_MEMBER(crunch_leave_uc_strings, 4,
"Dont crunch words with long lower case strings",
this->params()),
INT_MEMBER(crunch_long_repetitions, 3,
"Crunch words with long repetitions", this->params()),
INT_MEMBER(crunch_debug, 0, "As it says", this->params()),
INT_MEMBER(fixsp_non_noise_limit, 1,
"How many non-noise blbs either side?", this->params()),
double_MEMBER(fixsp_small_outlines_size, 0.28,
"Small if lt xht x this", this->params()),
BOOL_MEMBER(tessedit_prefer_joined_punct, false,
"Reward punctation joins", this->params()),
INT_MEMBER(fixsp_done_mode, 1,
"What constitues done for spacing", this->params()),
INT_MEMBER(debug_fix_space_level, 0,
"Contextual fixspace debug", this->params()),
STRING_MEMBER(numeric_punctuation, ".,",
"Punct. chs expected WITHIN numbers", this->params()),
INT_MEMBER(x_ht_acceptance_tolerance, 8,
"Max allowed deviation of blob top outside of font data",
this->params()),
INT_MEMBER(x_ht_min_change, 8,
"Min change in xht before actually trying it", this->params()),
BOOL_MEMBER(tessedit_write_block_separators, false,
"Write block separators in output", this->params()),
BOOL_MEMBER(tessedit_write_rep_codes, false,
"Write repetition char code", this->params()),
BOOL_MEMBER(tessedit_write_unlv, false,
"Write .unlv output file", this->params()),
BOOL_MEMBER(tessedit_create_hocr, false,
"Write .html hOCR output file", this->params()),
STRING_MEMBER(unrecognised_char, "|",
"Output char for unidentified blobs", this->params()),
INT_MEMBER(suspect_level, 99, "Suspect marker level", this->params()),
INT_MEMBER(suspect_space_level, 100,
"Min suspect level for rejecting spaces", this->params()),
INT_MEMBER(suspect_short_words, 2,
"Dont Suspect dict wds longer than this", this->params()),
BOOL_MEMBER(suspect_constrain_1Il, false,
"UNLV keep 1Il chars rejected", this->params()),
double_MEMBER(suspect_rating_per_ch, 999.9,
"Dont touch bad rating limit", this->params()),
double_MEMBER(suspect_accept_rating, -999.9,
"Accept good rating limit", this->params()),
BOOL_MEMBER(tessedit_minimal_rejection, false,
"Only reject tess failures", this->params()),
BOOL_MEMBER(tessedit_zero_rejection, false,
"Dont reject ANYTHING", this->params()),
BOOL_MEMBER(tessedit_word_for_word, false,
"Make output have exactly one word per WERD", this->params()),
BOOL_MEMBER(tessedit_zero_kelvin_rejection, false,
"Dont reject ANYTHING AT ALL", this->params()),
BOOL_MEMBER(tessedit_consistent_reps, true,
"Force all rep chars the same", this->params()),
INT_MEMBER(tessedit_reject_mode, 0, "Rejection algorithm", this->params()),
INT_MEMBER(tessedit_ok_mode, 5,
"Acceptance decision algorithm", this->params()),
BOOL_MEMBER(tessedit_rejection_debug, false,
"Adaption debug", this->params()),
BOOL_MEMBER(tessedit_flip_0O, true,
"Contextual 0O O0 flips", this->params()),
double_MEMBER(tessedit_lower_flip_hyphen, 1.5,
"Aspect ratio dot/hyphen test", this->params()),
double_MEMBER(tessedit_upper_flip_hyphen, 1.8,
"Aspect ratio dot/hyphen test", this->params()),
BOOL_MEMBER(rej_trust_doc_dawg, false,
"Use DOC dawg in 11l conf. detector", this->params()),
BOOL_MEMBER(rej_1Il_use_dict_word, false,
"Use dictword test", this->params()),
BOOL_MEMBER(rej_1Il_trust_permuter_type, true,
"Dont double check", this->params()),
BOOL_MEMBER(rej_use_tess_accepted, true,
"Individual rejection control", this->params()),
BOOL_MEMBER(rej_use_tess_blanks, true,
"Individual rejection control", this->params()),
BOOL_MEMBER(rej_use_good_perm, true,
"Individual rejection control", this->params()),
BOOL_MEMBER(rej_use_sensible_wd, false,
"Extend permuter check", this->params()),
BOOL_MEMBER(rej_alphas_in_number_perm, false,
"Extend permuter check", this->params()),
double_MEMBER(rej_whole_of_mostly_reject_word_fract, 0.85,
"if >this fract", this->params()),
INT_MEMBER(tessedit_image_border, 2,
"Rej blbs near image edge limit", this->params()),
STRING_MEMBER(ok_repeated_ch_non_alphanum_wds, "-?*\075",
"Allow NN to unrej", this->params()),
STRING_MEMBER(conflict_set_I_l_1, "Il1[]",
"Il1 conflict set", this->params()),
INT_MEMBER(min_sane_x_ht_pixels, 8,
"Reject any x-ht lt or eq than this", this->params()),
BOOL_MEMBER(tessedit_create_boxfile, false,
"Output text with boxes", this->params()),
INT_MEMBER(tessedit_page_number, -1, "-1 -> All pages"
" , else specifc page to process", this->params()),
BOOL_MEMBER(tessedit_write_images, false,
"Capture the image from the IPE", this->params()),
BOOL_MEMBER(interactive_display_mode, false, "Run interactively?",
this->params()),
STRING_MEMBER(file_type, ".tif", "Filename extension", this->params()),
BOOL_MEMBER(tessedit_override_permuter, true,
"According to dict_word", this->params()),
INT_MEMBER(tessdata_manager_debug_level, 0, "Debug level for"
" TessdataManager functions.", this->params()),
STRING_MEMBER(tessedit_load_sublangs, "",
"List of languages to load with this one", this->params()),
double_MEMBER(min_orientation_margin, 7.0,
"Min acceptable orientation margin", this->params()),
BOOL_MEMBER(textord_tabfind_show_vlines, false, "Debug line finding",
this->params()),
BOOL_MEMBER(textord_use_cjk_fp_model, FALSE, "Use CJK fixed pitch model",
this->params()),
BOOL_INIT_MEMBER(tessedit_init_config_only, false,
"Only initialize with the config file. Useful if the "
"instance is not going to be used for OCR but say only "
"for layout analysis.", this->params()),
BOOL_MEMBER(textord_equation_detect, false, "Turn on equation detector",
this->params()),
backup_config_file_(NULL),
pix_binary_(NULL),
cube_binary_(NULL),
pix_grey_(NULL),
source_resolution_(0),
textord_(this),
right_to_left_(false),
scaled_color_(NULL),
scaled_factor_(-1),
deskew_(1.0f, 0.0f),
reskew_(1.0f, 0.0f),
most_recently_used_(this),
font_table_size_(0),
cube_cntxt_(NULL),
tess_cube_combiner_(NULL),
equ_detect_(NULL) {
}

tesseract::Tesseract::~Tesseract | ( |  | ) |

Definition at line 398 of file tesseractclass.cpp.

{
Clear();
end_tesseract();
sub_langs_.delete_data_pointers();
// Delete cube objects.
if (cube_cntxt_ != NULL) {
delete cube_cntxt_;
cube_cntxt_ = NULL;
}
if (tess_cube_combiner_ != NULL) {
delete tess_cube_combiner_;
tess_cube_combiner_ = NULL;
}
}

## Member Function Documentation

BOOL8 tesseract::Tesseract::acceptable_number_string | ( | const char * | s,
|  | const char * | lengths
| ) |  |

Definition at line 485 of file output.cpp.

{
BOOL8 prev_digit = FALSE;
if (*lengths == 1 && *s == '(')
s++;
if (*lengths == 1 &&
((*s == '$') || (*s == '.') || (*s == '+') || (*s == '-')))
s++;
for (; *s != '\0'; s += *(lengths++)) {
if (unicharset.get_isdigit(s, *lengths))
prev_digit = TRUE;
else if (prev_digit &&
(*lengths == 1 && ((*s == '.') || (*s == ',') || (*s == '-'))))
prev_digit = FALSE;
else if (prev_digit && *lengths == 1 &&
(*(s + *lengths) == '\0') && ((*s == '%') || (*s == ')')))
return TRUE;
else if (prev_digit &&
*lengths == 1 && (*s == '%') &&
(*(lengths + 1) == 1 && *(s + *lengths) == ')') &&
(*(s + *lengths + *(lengths + 1)) == '\0'))
return TRUE;
else
return FALSE;
}
return TRUE;
}

ACCEPTABLE_WERD_TYPE tesseract::Tesseract::acceptable_word_string | ( | const UNICHARSET & | char_set,
|  | const char * | s,
|  | const char * | lengths
| ) |  |

Definition at line 1284 of file control.cpp.

{
int i = 0;
int offset = 0;
int leading_punct_count;
int upper_count = 0;
int hyphen_pos = -1;
ACCEPTABLE_WERD_TYPE word_type = AC_UNACCEPTABLE;
if (strlen (lengths) > 20)
return word_type;
/* Single Leading punctuation char*/
if (s[offset] != '\0' && STRING(chs_leading_punct).contains(s[offset]))
offset += lengths[i++];
leading_punct_count = i;
/* Initial cap */
while (s[offset] != '\0' && char_set.get_isupper(s + offset, lengths[i])) {
offset += lengths[i++];
upper_count++;
}
if (upper_count > 1) {
word_type = AC_UPPER_CASE;
} else {
/* Lower case word, possibly with an initial cap */
while (s[offset] != '\0' && char_set.get_islower(s + offset, lengths[i])) {
offset += lengths[i++];
}
if (i - leading_punct_count < quality_min_initial_alphas_reqd)
goto not_a_word;
/*
Allow a single hyphen in a lower case word
- dont trust upper case - I've seen several cases of "H" -> "I-I"
*/
if (lengths[i] == 1 && s[offset] == '-') {
hyphen_pos = i;
offset += lengths[i++];
if (s[offset] != '\0') {
while ((s[offset] != '\0') &&
char_set.get_islower(s + offset, lengths[i])) {
offset += lengths[i++];
}
if (i < hyphen_pos + 3)
goto not_a_word;
}
} else {
/* Allow "'s" in NON hyphenated lower case words */
if (lengths[i] == 1 && (s[offset] == '\'') &&
lengths[i + 1] == 1 && (s[offset + lengths[i]] == 's')) {
offset += lengths[i++];
offset += lengths[i++];
}
}
if (upper_count > 0)
word_type = AC_INITIAL_CAP;
else
word_type = AC_LOWER_CASE;
}
/* Up to two different, constrained trailing punctuation chars */
if (lengths[i] == 1 && s[offset] != '\0' &&
STRING(chs_trailing_punct1).contains(s[offset]))
offset += lengths[i++];
if (lengths[i] == 1 && s[offset] != '\0' && i > 0 &&
s[offset - lengths[i - 1]] != s[offset] &&
STRING(chs_trailing_punct2).contains (s[offset]))
offset += lengths[i++];
if (s[offset] != '\0')
word_type = AC_UNACCEPTABLE;
not_a_word:
if (word_type == AC_UNACCEPTABLE) {
/* Look for abbreviation string */
i = 0;
offset = 0;
if (s[0] != '\0' && char_set.get_isupper(s, lengths[0])) {
word_type = AC_UC_ABBREV;
while (s[offset] != '\0' &&
char_set.get_isupper(s + offset, lengths[i]) &&
lengths[i + 1] == 1 && s[offset + lengths[i]] == '.') {
offset += lengths[i++];
offset += lengths[i++];
}
}
else if (s[0] != '\0' && char_set.get_islower(s, lengths[0])) {
word_type = AC_LC_ABBREV;
while (s[offset] != '\0' &&
char_set.get_islower(s + offset, lengths[i]) &&
lengths[i + 1] == 1 && s[offset + lengths[i]] == '.') {
offset += lengths[i++];
offset += lengths[i++];
}
}
if (s[offset] != '\0')
word_type = AC_UNACCEPTABLE;
}
return word_type;
}

inT16 tesseract::Tesseract::alpha_count | ( | const char * | word,
|  | const char * | word_lengths
| ) |  |

Definition at line 659 of file reject.cpp.

{
inT16 i;
inT16 offset;
inT16 count = 0;
for (i = 0, offset = 0; word[offset] != '\0'; offset += word_lengths[i++]) {
if (unicharset.get_isalpha (word + offset, word_lengths[i]))
count++;
}
return count;
}

void tesseract::Tesseract::ambigs_classify_and_output | ( | WERD_RES * | werd_res,
|  | ROW_RES * | row_res,
|  | BLOCK_RES * | block_res,
|  | const char * | label,
|  | FILE * | output_file
| ) |  |

Definition at line 163 of file recogtraining.cpp.

{
int offset;
// Classify word.
fflush(stdout);
classify_word_pass1(block_res->block, row_res->row, werd_res);
WERD_CHOICE *best_choice = werd_res->best_choice;
ASSERT_HOST(best_choice != NULL);
ASSERT_HOST(best_choice->blob_choices() != NULL);
// Compute the number of unichars in the label.
int label_num_unichars = 0;
int step = 1; // should be non-zero on the first iteration
for (offset = 0; label[offset] != '\0' && step > 0;
step = werd_res->uch_set->step(label + offset),
offset += step, ++label_num_unichars);
if (step == 0) {
tprintf("Not outputting illegal unichar %s\n", label);
return;
}
// Output all classifier choices for the unigrams (1->1 classifications).
if (label_num_unichars == 1 && best_choice->blob_choices()->length() == 1) {
BLOB_CHOICE_LIST_C_IT outer_blob_choice_it;
outer_blob_choice_it.set_to_list(best_choice->blob_choices());
BLOB_CHOICE_IT blob_choice_it;
blob_choice_it.set_to_list(outer_blob_choice_it.data());
for (blob_choice_it.mark_cycle_pt();
!blob_choice_it.cycled_list();
blob_choice_it.forward()) {
BLOB_CHOICE *blob_choice = blob_choice_it.data();
if (blob_choice->unichar_id() != INVALID_UNICHAR_ID) {
fprintf(output_file, "%s\t%s\t%.4f\t%.4f\n",
unicharset.id_to_unichar(blob_choice->unichar_id()),
label, blob_choice->rating(), blob_choice->certainty());
}
}
}
// Output raw choices for many->many and 1->many classifications.
getDict().PrintAmbigAlternatives(output_file, label, label_num_unichars);
}

PAGE_RES * tesseract::Tesseract::ApplyBoxes | ( | const STRING & | fname,
|  | bool | find_segmentation,
|  | BLOCK_LIST * | block_list
| ) |  |

Definition at line 111 of file applybox.cpp.

{
int box_count = 0;
int box_failures = 0;
FILE* box_file = OpenBoxFile(fname);
TBOX box;
GenericVector<TBOX> boxes;
GenericVector<STRING> texts, full_texts;
bool found_box = true;
while (found_box) {
int line_number = 0; // Line number of the box file.
STRING text, full_text;
found_box = ReadNextBox(applybox_page, &line_number, box_file, &text, &box);
if (found_box) {
++box_count;
MakeBoxFileStr(text.string(), box, applybox_page, &full_text);
} else {
full_text = "";
}
boxes.push_back(box);
texts.push_back(text);
full_texts.push_back(full_text);
}
// In word mode, we use the boxes to make a word for each box, but
// in blob mode we use the existing words and maximally chop them first.
PAGE_RES* page_res = find_segmentation ?
NULL : SetupApplyBoxes(boxes, block_list);
clear_any_old_text(block_list);
for (int i = 0; i < boxes.size() - 1; i++) {
bool foundit = false;
if (page_res != NULL) {
if (i == 0) {
foundit = ResegmentCharBox(page_res, NULL, boxes[i], boxes[i + 1],
full_texts[i].string());
} else {
foundit = ResegmentCharBox(page_res, &boxes[i-1], boxes[i],
boxes[i + 1], full_texts[i].string());
}
} else {
foundit = ResegmentWordBox(block_list, boxes[i], boxes[i + 1],
texts[i].string());
}
if (!foundit) {
box_failures++;
ReportFailedBox(i, boxes[i], texts[i].string(),
"FAILURE! Couldn't find a matching blob");
}
}
if (page_res == NULL) {
// In word/line mode, we now maximally chop all the words and resegment
// them with the classifier.
page_res = SetupApplyBoxes(boxes, block_list);
ReSegmentByClassification(page_res);
}
if (applybox_debug > 0) {
tprintf("APPLY_BOXES:\n");
tprintf(" Boxes read from boxfile: %6d\n", box_count);
if (box_failures > 0)
tprintf(" Boxes failed resegmentation: %6d\n", box_failures);
}
TidyUp(page_res);
return page_res;
}

void tesseract::Tesseract::ApplyBoxTraining | ( | const STRING & | filename,
|  | PAGE_RES * | page_res
| ) |  |

Definition at line 786 of file applybox.cpp.

{
PAGE_RES_IT pr_it(page_res);
int word_count = 0;
for (WERD_RES *word_res = pr_it.word(); word_res != NULL;
word_res = pr_it.forward()) {
LearnWord(filename.string(), NULL, word_res);
++word_count;
}
tprintf("Generated training data for %d words\n", word_count);
}

int tesseract::Tesseract::AutoPageSeg | ( | bool | single_column,
|  | bool | osd,
|  | bool | only_osd,
|  | BLOCK_LIST * | blocks,
|  | TO_BLOCK_LIST * | to_blocks,
|  | Tesseract * | osd_tess,
|  | OSResults * | osr
| ) |  |

Auto page segmentation. Divide the page image into blocks of uniform text linespacing and images.

Resolution (in ppi) is derived from the input image.

The output goes in the blocks list with corresponding TO_BLOCKs in the to_blocks list.

If single_column is true, then no attempt is made to divide the image into columns, but multiple blocks are still made if the text is of non-uniform linespacing.

If osd (orientation and script detection) is true then that is performed as well. If only_osd is true, then only orientation and script detection is performed. If osd is desired, (osd or only_osd) then osr_tess must be another Tesseract that was initialized especially for osd, and the results will be output into osr (orientation and script result).

Definition at line 218 of file pagesegmain.cpp.

{
if (textord_debug_images) {
WriteDebugBackgroundImage(textord_debug_printable, pix_binary_);
}
Pix* photomask_pix = NULL;
Pix* musicmask_pix = NULL;
// The blocks made by the ColumnFinder. Moved to blocks before return.
BLOCK_LIST found_blocks;
TO_BLOCK_LIST temp_blocks;
ColumnFinder* finder = SetupPageSegAndDetectOrientation(
single_column, osd, only_osd, blocks, osd_tess, osr,
&temp_blocks, &photomask_pix, &musicmask_pix);
if (finder != NULL) {
TO_BLOCK_IT to_block_it(&temp_blocks);
TO_BLOCK* to_block = to_block_it.data();
if (musicmask_pix != NULL) {
// TODO(rays) pass the musicmask_pix into FindBlocks and mark music
// blocks separately. For now combine with photomask_pix.
pixOr(photomask_pix, photomask_pix, musicmask_pix);
}
if (equ_detect_) {
finder->SetEquationDetect(equ_detect_);
}
if (finder->FindBlocks(single_column, scaled_color_, scaled_factor_,
to_block, photomask_pix,
&found_blocks, to_blocks) < 0) {
pixDestroy(&photomask_pix);
pixDestroy(&musicmask_pix);
return -1;
}
finder->GetDeskewVectors(&deskew_, &reskew_);
delete finder;
}
pixDestroy(&photomask_pix);
pixDestroy(&musicmask_pix);
blocks->clear();
BLOCK_IT block_it(blocks);
// Move the found blocks to the input/output blocks.
block_it.add_list_after(&found_blocks);
if (textord_debug_images) {
// The debug image is no longer needed so delete it.
unlink(AlignedBlob::textord_debug_pix().string());
}
return 0;
}

Pix* tesseract::Tesseract::BestPix | ( |  | ) | const

inline

Definition at line 181 of file tesseractclass.h.

{
return pix_grey_ != NULL ? pix_grey_ : pix_binary_;
}

void tesseract::Tesseract::bigram_correction_pass | ( | PAGE_RES * | page_res | ) |

Definition at line 419 of file control.cpp.

{
PAGE_RES_IT word_it(page_res);
WERD_RES *w_prev = NULL;
WERD_RES *w = word_it.word();
while (1) {
w_prev = w;
while (word_it.forward() != NULL &&
(!word_it.word() || word_it.word()->part_of_combo)) {
// advance word_it, skipping over parts of combos
}
if (!word_it.word()) break;
w = word_it.word();
if (!w || !w_prev || w->uch_set != w_prev->uch_set) {
continue;
}
if (w_prev->word->flag(W_REP_CHAR) || w->word->flag(W_REP_CHAR)) {
if (tessedit_bigram_debug) {
tprintf("Skipping because one of the words is W_REP_CHAR\n");
}
continue;
}
// Two words sharing the same language model, excellent!
if (w->alt_choices.empty()) {
if (tessedit_bigram_debug) {
tprintf("Alt choices not set up for word choice: %s\n",
w->best_choice->unichar_string().string());
}
continue;
}
if (w_prev->alt_choices.empty()) {
if (tessedit_bigram_debug) {
tprintf("Alt choices not set up for word choice: %s\n",
w_prev->best_choice->unichar_string().string());
}
continue;
}
// We saved alternate choices, excellent!
GenericVector<WERD_CHOICE *> overrides_word1;
GenericVector<GenericVector<int> *> overrides_word1_state;
GenericVector<WERD_CHOICE *> overrides_word2;
GenericVector<GenericVector<int> *> overrides_word2_state;
STRING orig_w1_str = w_prev->best_choice->unichar_string();
STRING orig_w2_str = w->best_choice->unichar_string();
WERD_CHOICE prev_best(w->uch_set);
{
int w1start, w1end;
w_prev->WithoutFootnoteSpan(&w1start, &w1end);
prev_best = w_prev->best_choice->shallow_copy(w1start, w1end);
}
WERD_CHOICE this_best(w->uch_set);
{
int w2start, w2end;
w->WithoutFootnoteSpan(&w2start, &w2end);
this_best = w->best_choice->shallow_copy(w2start, w2end);
}
if (w->tesseract->getDict().valid_bigram(prev_best, this_best)) {
if (tessedit_bigram_debug) {
tprintf("Top choice \"%s %s\" verified by bigram model.\n",
orig_w1_str.string(), orig_w2_str.string());
}
continue;
}
if (tessedit_bigram_debug > 2) {
tprintf("Examining alt choices for \"%s %s\".\n",
orig_w1_str.string(), orig_w2_str.string());
}
if (tessedit_bigram_debug > 1) {
if (w_prev->alt_choices.size() > 1) {
print_word_alternates_list(w_prev->best_choice, &w_prev->alt_choices);
}
if (w->alt_choices.size() > 1) {
print_word_alternates_list(w->best_choice, &w->alt_choices);
}
}
float best_rating = 0.0;
int best_idx = 0;
for (int i = 0; i < w_prev->alt_choices.size(); i++) {
WERD_CHOICE *p1 = w_prev->alt_choices.get(i);
WERD_CHOICE strip1(w->uch_set);
{
int p1start, p1end;
w_prev->WithoutFootnoteSpan(*p1, w_prev->alt_states.get(i),
&p1start, &p1end);
strip1 = p1->shallow_copy(p1start, p1end);
}
for (int j = 0; j < w->alt_choices.size(); j++) {
WERD_CHOICE *p2 = w->alt_choices.get(j);
WERD_CHOICE strip2(w->uch_set);
{
int p2start, p2end;
w->WithoutFootnoteSpan(*p2, w->alt_states.get(j), &p2start, &p2end);
strip2 = p2->shallow_copy(p2start, p2end);
}
if (w->tesseract->getDict().valid_bigram(strip1, strip2)) {
overrides_word1.push_back(p1);
overrides_word1_state.push_back(&w_prev->alt_states.get(i));
overrides_word2.push_back(p2);
overrides_word2_state.push_back(&w->alt_states.get(j));
if (overrides_word1.size() == 1 ||
p1->rating() + p2->rating() < best_rating) {
best_rating = p1->rating() + p2->rating();
best_idx = overrides_word1.size() - 1;
}
}
}
}
if (overrides_word1.size() >= 1) {
// Excellent, we have some bigram matches.
if (EqualIgnoringCaseAndTerminalPunct(*w_prev->best_choice,
*overrides_word1[best_idx]) &&
EqualIgnoringCaseAndTerminalPunct(*w->best_choice,
*overrides_word2[best_idx])) {
if (tessedit_bigram_debug > 1) {
tprintf("Top choice \"%s %s\" verified (sans case) by bigram "
"model.\n", orig_w1_str.string(), orig_w2_str.string());
}
continue;
}
STRING new_w1_str = overrides_word1[best_idx]->unichar_string();
STRING new_w2_str = overrides_word2[best_idx]->unichar_string();
if (new_w1_str != orig_w1_str) {
w_prev->ReplaceBestChoice(*overrides_word1[best_idx],
*overrides_word1_state[best_idx]);
}
if (new_w2_str != orig_w2_str) {
w->ReplaceBestChoice(*overrides_word2[best_idx],
*overrides_word2_state[best_idx]);
}
if (tessedit_bigram_debug > 0) {
STRING choices_description;
int num_bigram_choices
= overrides_word1.size() * overrides_word2.size();
if (num_bigram_choices == 1) {
choices_description = "This was the unique bigram choice.";
} else {
if (tessedit_bigram_debug > 1) {
STRING bigrams_list;
const int kMaxChoicesToPrint = 20;
for (int i = 0; i < overrides_word1.size() &&
i < kMaxChoicesToPrint; i++) {
if (i > 0) { bigrams_list += ", "; }
WERD_CHOICE *p1 = overrides_word1[i];
WERD_CHOICE *p2 = overrides_word2[i];
bigrams_list += p1->unichar_string() + " " + p2->unichar_string();
if (i == kMaxChoicesToPrint) {
bigrams_list += " ...";
}
}
choices_description = "There were many choices: {";
choices_description += bigrams_list;
choices_description += "}";
} else {
choices_description.add_str_int("There were ", num_bigram_choices);
choices_description += " compatible bigrams.";
}
}
tprintf("Replaced \"%s %s\" with \"%s %s\" with bigram model. %s\n",
orig_w1_str.string(), orig_w2_str.string(),
new_w1_str.string(), new_w2_str.string(),
choices_description.string());
}
}
}
}

void tesseract::Tesseract::blamer_pass | ( | PAGE_RES * | page_res | ) |

Definition at line 684 of file control.cpp.

{
if (!wordrec_run_blamer) return;
PAGE_RES_IT page_res_it(page_res);
for (page_res_it.restart_page(); page_res_it.word() != NULL;
page_res_it.forward()) {
WERD_RES *word = page_res_it.word();
if (word->blamer_bundle == NULL) {
word->blamer_bundle = new BlamerBundle();
word->blamer_bundle->incorrect_result_reason = IRR_PAGE_LAYOUT;
word->blamer_bundle->debug = word->blamer_bundle->IncorrectReason();
word->blamer_bundle->debug += " to blame";
} else if (word->blamer_bundle->incorrect_result_reason ==
IRR_NO_TRUTH) {
word->blamer_bundle->SetBlame(IRR_NO_TRUTH, "Rejected truth",
word->best_choice, wordrec_debug_blamer);
} else {
bool correct = ChoiceIsCorrect(*word->uch_set, word->best_choice,
word->blamer_bundle->truth_text);
IncorrectResultReason irr =
word->blamer_bundle->incorrect_result_reason;
if (irr == IRR_CORRECT && !correct) {
STRING debug = "Choice is incorrect after recognition";
word->blamer_bundle->SetBlame(IRR_UNKNOWN, debug,
word->best_choice,
wordrec_debug_blamer);
} else if (irr != IRR_CORRECT && correct) {
if (wordrec_debug_blamer) {
tprintf("Corrected %s\n", word->blamer_bundle->debug.string());
}
word->blamer_bundle->incorrect_result_reason = IRR_CORRECT;
word->blamer_bundle->debug = "";
}
}
page_res->blame_reasons[word->blamer_bundle->incorrect_result_reason]++;
}
tprintf("Blame reasons:\n");
for (int bl = 0; bl < IRR_NUM_REASONS; ++bl) {
tprintf("%s %d\n", BlamerBundle::IncorrectReasonName(
static_cast<IncorrectResultReason>(bl)),
page_res->blame_reasons[bl]);
}
if (page_res->misadaption_log.length() > 0) {
tprintf("Misadaption log:\n");
for (int i = 0; i < page_res->misadaption_log.length(); ++i) {
tprintf("%s\n", page_res->misadaption_log[i].string());
}
}
}

float tesseract::Tesseract::blob_noise_score | ( | TBLOB * | blob | ) |

Definition at line 844 of file fixspace.cpp.

{
TBOX box; // BB of outline
inT16 outline_count = 0;
inT16 max_dimension;
inT16 largest_outline_dimension = 0;
for (TESSLINE* ol = blob->outlines; ol != NULL; ol= ol->next) {
outline_count++;
box = ol->bounding_box();
if (box.height() > box.width()) {
max_dimension = box.height();
} else {
max_dimension = box.width();
}
if (largest_outline_dimension < max_dimension)
largest_outline_dimension = max_dimension;
}
if (outline_count > 5) {
// penalise LOTS of blobs
largest_outline_dimension *= 2;
}
box = blob->bounding_box();
if (box.bottom() > kBlnBaselineOffset * 4 ||
box.top() < kBlnBaselineOffset / 2) {
// Lax blob is if high or low
largest_outline_dimension /= 2;
}
return largest_outline_dimension;
}

void tesseract::Tesseract::break_noisiest_blob_word | ( | WERD_RES_LIST & | words | ) |

break_noisiest_blob_word() Find the word with the blob which looks like the worst noise. Break the word into two, deleting the noise blob.

Definition at line 699 of file fixspace.cpp.

{
WERD_RES_IT word_it(&words);
WERD_RES_IT worst_word_it;
float worst_noise_score = 9999;
int worst_blob_index = -1; // Noisiest blob of noisiest wd
int blob_index; // of wds noisiest blob
float noise_score; // of wds noisiest blob
WERD_RES *word_res;
C_BLOB_IT blob_it;
C_BLOB_IT rej_cblob_it;
C_BLOB_LIST new_blob_list;
C_BLOB_IT new_blob_it;
C_BLOB_IT new_rej_cblob_it;
WERD *new_word;
inT16 start_of_noise_blob;
inT16 i;
for (word_it.mark_cycle_pt(); !word_it.cycled_list(); word_it.forward()) {
blob_index = worst_noise_blob(word_it.data(), &noise_score);
if (blob_index > -1 && worst_noise_score > noise_score) {
worst_noise_score = noise_score;
worst_blob_index = blob_index;
worst_word_it = word_it;
}
}
if (worst_blob_index < 0) {
words.clear(); // signal termination
return;
}
/* Now split the worst_word_it */
word_res = worst_word_it.data();
/* Move blobs before noise blob to a new bloblist */
new_blob_it.set_to_list(&new_blob_list);
blob_it.set_to_list(word_res->word->cblob_list());
for (i = 0; i < worst_blob_index; i++, blob_it.forward()) {
new_blob_it.add_after_then_move(blob_it.extract());
}
start_of_noise_blob = blob_it.data()->bounding_box().left();
delete blob_it.extract(); // throw out noise blob
new_word = new WERD(&new_blob_list, word_res->word);
new_word->set_flag(W_EOL, FALSE);
word_res->word->set_flag(W_BOL, FALSE);
word_res->word->set_blanks(1); // After break
new_rej_cblob_it.set_to_list(new_word->rej_cblob_list());
rej_cblob_it.set_to_list(word_res->word->rej_cblob_list());
for (;
(!rej_cblob_it.empty() &&
(rej_cblob_it.data()->bounding_box().left() < start_of_noise_blob));
rej_cblob_it.forward()) {
new_rej_cblob_it.add_after_then_move(rej_cblob_it.extract());
}
WERD_RES* new_word_res = new WERD_RES(new_word);
new_word_res->combination = TRUE;
worst_word_it.add_before_then_move(new_word_res);
word_res->ClearResults();
}

SVMenuNode * tesseract::Tesseract::build_menu_new | ( |  | ) |

Definition at line 256 of file pgedit.cpp.

{
SVMenuNode* parent_menu;
SVMenuNode* root_menu_item = new SVMenuNode();
SVMenuNode* modes_menu_item = root_menu_item->AddChild("MODES");
modes_menu_item->AddChild("Change Display", CHANGE_DISP_CMD_EVENT);
modes_menu_item->AddChild("Dump Word", DUMP_WERD_CMD_EVENT);
modes_menu_item->AddChild("Show Point", SHOW_POINT_CMD_EVENT);
modes_menu_item->AddChild("Show BL Norm Word", SHOW_BLN_WERD_CMD_EVENT);
modes_menu_item->AddChild("Config Words", DEBUG_WERD_CMD_EVENT);
modes_menu_item->AddChild("Recog Words", RECOG_WERDS);
modes_menu_item->AddChild("Recog Blobs", RECOG_PSEUDO);
parent_menu = root_menu_item->AddChild("DISPLAY");
parent_menu->AddChild("Blamer", BLAMER_CMD_EVENT, FALSE);
parent_menu->AddChild("Bounding Boxes", BOUNDING_BOX_CMD_EVENT, FALSE);
parent_menu->AddChild("Correct Text", CORRECT_TEXT_CMD_EVENT, FALSE);
parent_menu->AddChild("Polygonal Approx", POLYGONAL_CMD_EVENT, FALSE);
parent_menu->AddChild("Baseline Normalized", BL_NORM_CMD_EVENT, FALSE);
parent_menu->AddChild("Edge Steps", BITMAP_CMD_EVENT, TRUE);
parent_menu->AddChild("Subscripts", SHOW_SUBSCRIPT_CMD_EVENT);
parent_menu->AddChild("Superscripts", SHOW_SUPERSCRIPT_CMD_EVENT);
parent_menu->AddChild("Italics", SHOW_ITALIC_CMD_EVENT);
parent_menu->AddChild("Bold", SHOW_BOLD_CMD_EVENT);
parent_menu->AddChild("Underline", SHOW_UNDERLINE_CMD_EVENT);
parent_menu->AddChild("FixedPitch", SHOW_FIXEDPITCH_CMD_EVENT);
parent_menu->AddChild("Serifs", SHOW_SERIF_CMD_EVENT);
parent_menu->AddChild("SmallCaps", SHOW_SMALLCAPS_CMD_EVENT);
parent_menu->AddChild("DropCaps", SHOW_DROPCAPS_CMD_EVENT);
parent_menu = root_menu_item->AddChild("OTHER");
parent_menu->AddChild("Quit", QUIT_CMD_EVENT);
parent_menu->AddChild("Show Image", IMAGE_CMD_EVENT, FALSE);
parent_menu->AddChild("ShowBlock Outlines", BLOCKS_CMD_EVENT, FALSE);
parent_menu->AddChild("Show Baselines", BASELINES_CMD_EVENT, FALSE);
parent_menu->AddChild("Uniform Display", UNIFORM_DISP_CMD_EVENT);
parent_menu->AddChild("Refresh Display", REFRESH_CMD_EVENT);
return root_menu_item;
}

BOOL8 tesseract::Tesseract::check_debug_pt | ( | WERD_RES * | word,
|  | int | location
| ) |  |

Definition at line 1388 of file control.cpp.

{
BOOL8 show_map_detail = FALSE;
inT16 i;
#ifndef SECURE_NAMES
if (!test_pt)
return FALSE;
tessedit_rejection_debug.set_value (FALSE);
debug_x_ht_level.set_value (0);
if (word->word->bounding_box ().contains (FCOORD (test_pt_x, test_pt_y))) {
if (location < 0)
return TRUE; // For breakpoint use
tessedit_rejection_debug.set_value (TRUE);
debug_x_ht_level.set_value (20);
tprintf ("\n\nTESTWD::");
switch (location) {
case 0:
tprintf ("classify_word_pass1 start\n");
word->word->print();
break;
case 10:
tprintf ("make_reject_map: initial map");
break;
case 20:
tprintf ("make_reject_map: after NN");
break;
case 30:
tprintf ("classify_word_pass2 - START");
break;
case 40:
tprintf ("classify_word_pass2 - Pre Xht");
break;
case 50:
tprintf ("classify_word_pass2 - END");
show_map_detail = TRUE;
break;
case 60:
tprintf ("fixspace");
break;
case 70:
tprintf ("MM pass START");
break;
case 80:
tprintf ("MM pass END");
break;
case 90:
tprintf ("After Poor quality rejection");
break;
case 100:
tprintf ("unrej_good_quality_words - START");
break;
case 110:
tprintf ("unrej_good_quality_words - END");
break;
case 120:
tprintf ("Write results pass");
show_map_detail = TRUE;
break;
}
tprintf(" \"%s\" ",
word->best_choice->unichar_string().string());
word->reject_map.print (debug_fp);
tprintf ("\n");
if (show_map_detail) {
tprintf ("\"%s\"\n", word->best_choice->unichar_string().string());
for (i = 0; word->best_choice->unichar_string()[i] != '\0'; i++) {
tprintf ("**** \"%c\" ****\n", word->best_choice->unichar_string()[i]);
word->reject_map[i].full_print(debug_fp);
}
}
tprintf ("Tess Accepted: %s\n", word->tess_accepted ? "TRUE" : "FALSE");
tprintf ("Done flag: %s\n\n", word->done ? "TRUE" : "FALSE");
return TRUE;
}
else
#endif
return FALSE;
}

void tesseract::Tesseract::classify_word_and_language | ( | WordRecognizer | recognizer,
|  | BLOCK * | block,
|  | ROW * | row,
|  | WERD_RES * | word
| ) |  |

Definition at line 795 of file control.cpp.

{
if (classify_debug_level || cube_debug_level) {
tprintf("Processing word with lang %s at:",
most_recently_used_->lang.string());
word->word->bounding_box().print();
}
const char* result_type = "Initial";
bool initially_done = !word->tess_failed && word->done;
if (initially_done) {
// If done on pass1, we reuse the tesseract that did it, and don't try
// any more. The only need to call the classifier at all is for the
// cube combiner and xheight fixing (which may be bogus on a done word.)
most_recently_used_ = word->tesseract;
result_type = "Already done";
}
(most_recently_used_->*recognizer)(block, row, word);
if (!word->tess_failed && word->tess_accepted)
result_type = "Accepted";
if (classify_debug_level || cube_debug_level) {
tprintf("%s result: %s r=%g, c=%g, accepted=%d, adaptable=%d\n",
result_type,
word->best_choice->unichar_string().string(),
word->best_choice->rating(),
word->best_choice->certainty(),
word->tess_accepted, word->tess_would_adapt);
}
if (word->tess_failed || !word->tess_accepted) {
// Try all the other languages to see if they are any better.
Tesseract* previous_used = most_recently_used_;
if (most_recently_used_ != this) {
if (classify_debug_level) {
tprintf("Retrying with main-Tesseract, lang: %s\n", lang.string());
}
if (RetryWithLanguage(word, block, row, recognizer)) {
most_recently_used_ = this;
if (!word->tess_failed && word->tess_accepted)
return; // No need to look at the others.
}
}
for (int i = 0; i < sub_langs_.size(); ++i) {
if (sub_langs_[i] != previous_used) {
if (classify_debug_level) {
tprintf("Retrying with sub-Tesseract[%d] lang: %s\n",
i, sub_langs_[i]->lang.string());
}
if (sub_langs_[i]->RetryWithLanguage(word, block, row, recognizer)) {
most_recently_used_ = sub_langs_[i];
if (!word->tess_failed && word->tess_accepted)
return; // No need to look at the others.
}
}
}
}
}

void tesseract::Tesseract::classify_word_pass1 | ( | BLOCK * | block,
|  | ROW * | row,
|  | WERD_RES * | word
| ) |  |

classify_word_pass1

Baseline normalize the word and pass it to Tess.

Definition at line 860 of file control.cpp.

{
// If we only intend to run cube - run it and return.
if (tessedit_ocr_engine_mode == OEM_CUBE_ONLY) {
cube_word_pass1(block, row, word);
return;
}
BLOB_CHOICE_LIST_CLIST *blob_choices = new BLOB_CHOICE_LIST_CLIST();
BOOL8 adapt_ok;
const char *rejmap;
inT16 index;
STRING mapstr = "";
check_debug_pt(word, 0);
if (word->SetupForTessRecognition(unicharset, this, BestPix(),
classify_bln_numeric_mode,
this->textord_use_cjk_fp_model,
row, block))
tess_segment_pass1(word, blob_choices);
if (!word->tess_failed) {
/*
The adaption step used to be here. It has been moved to after
make_reject_map so that we know whether the word will be accepted in the
first pass or not. This move will PREVENT adaption to words containing
double quotes because the word will not be identical to what tess thinks
its best choice is. (See CurrentBestChoiceIs in
stopper.cpp which is used by AdaptableWord in
adaptmatch.cpp)
*/
if (!word->word->flag(W_REP_CHAR)) {
// TODO(daria) delete these hacks when replaced by more generic code.
// Convert '' (double single) to " (single double).
word->fix_quotes(blob_choices);
if (tessedit_fix_hyphens) // turn -- to -
word->fix_hyphens(blob_choices);
word->tess_accepted = tess_acceptable_word(word->best_choice,
word->raw_choice);
word->tess_would_adapt = word->best_choice && word->raw_choice &&
AdaptableWord(word->rebuild_word,
*word->best_choice,
*word->raw_choice);
// Also sets word->done flag
make_reject_map(word, blob_choices, row, 1);
adapt_ok = word_adaptable(word, tessedit_tess_adaption_mode);
if (adapt_ok || tessedit_tess_adapt_to_rejmap) {
if (!tessedit_tess_adapt_to_rejmap) {
rejmap = NULL;
} else {
ASSERT_HOST(word->reject_map.length() ==
word->best_choice->length());
for (index = 0; index < word->reject_map.length(); index++) {
if (adapt_ok || word->reject_map[index].accepted())
mapstr += '1';
else
mapstr += '0';
}
rejmap = mapstr.string();
}
// Send word to adaptive classifier for training.
word->BestChoiceToCorrectText();
set_word_fonts(word, blob_choices);
LearnWord(NULL, rejmap, word);
// Mark misadaptions if running blamer.
if (word->blamer_bundle != NULL &&
word->blamer_bundle->incorrect_result_reason != IRR_NO_TRUTH &&
!ChoiceIsCorrect(*word->uch_set, word->best_choice,
word->blamer_bundle->truth_text)) {
word->blamer_bundle->misadaption_debug ="misadapt to word (";
word->blamer_bundle->misadaption_debug +=
word->best_choice->permuter_name();
word->blamer_bundle->misadaption_debug += "): ";
word->blamer_bundle->FillDebugString(
"", word->best_choice, &(word->blamer_bundle->misadaption_debug));
if (wordrec_debug_blamer) {
tprintf("%s\n", word->blamer_bundle->misadaption_debug.string());
}
}
}
if (tessedit_enable_doc_dict)
tess_add_doc_word(word->best_choice);
}
}
// Save best choices in the WERD_CHOICE if needed
word->best_choice->set_blob_choices(blob_choices);
}

void tesseract::Tesseract::classify_word_pass2 | ( | BLOCK * | block,
|  | ROW * | row,
|  | WERD_RES * | word
| ) |  |

classify_word_pass2

Control what to do with the word in pass 2

Definition at line 1026 of file control.cpp.

{
// Return if we do not want to run Tesseract.
if (tessedit_ocr_engine_mode != OEM_TESSERACT_ONLY &&
tessedit_ocr_engine_mode != OEM_TESSERACT_CUBE_COMBINED)
return;
bool done_this_pass = false;
set_global_subloc_code(SUBLOC_NORM);
check_debug_pt(word, 30);
if (!word->done || tessedit_training_tess) {
word->caps_height = 0.0;
if (word->x_height == 0.0f)
word->x_height = row->x_height();
match_word_pass2(word, row, block);
done_this_pass = TRUE;
check_debug_pt(word, 40);
}
if (!word->tess_failed && !word->word->flag(W_REP_CHAR)) {
bool accept_new_xht = false;
if (unicharset.top_bottom_useful() && unicharset.script_has_xheight()) {
// Use the tops and bottoms since they are available.
accept_new_xht = TrainedXheightFix(word, block, row);
}
if (accept_new_xht)
done_this_pass = true;
// Test for small caps. Word capheight must be close to block xheight,
// and word must contain no lower case letters, and at least one upper case.
double small_cap_xheight = block->x_height() * kXHeightCapRatio;
double small_cap_delta = (block->x_height() - small_cap_xheight) / 2.0;
if (unicharset.script_has_xheight() &&
small_cap_xheight - small_cap_delta <= word->x_height &&
word->x_height <= small_cap_xheight + small_cap_delta) {
// Scan for upper/lower.
int num_upper = 0;
int num_lower = 0;
for (int i = 0; i < word->best_choice->length(); ++i) {
if (unicharset.get_isupper(word->best_choice->unichar_id(i)))
++num_upper;
else if (unicharset.get_islower(word->best_choice->unichar_id(i)))
++num_lower;
}
if (num_upper > 0 && num_lower == 0)
word->small_caps = true;
}
word->SetScriptPositions();
set_global_subloc_code(SUBLOC_NORM);
}
#ifndef GRAPHICS_DISABLED
if (tessedit_display_outwords) {
if (fx_win == NULL)
create_fx_win();
clear_fx_win();
word->rebuild_word->plot(fx_win);
TBOX wbox = word->rebuild_word->bounding_box();
fx_win->ZoomToRectangle(wbox.left(), wbox.top(),
wbox.right(), wbox.bottom());
ScrollView::Update();
}
#endif
set_global_subloc_code(SUBLOC_NORM);
check_debug_pt(word, 50);
}

void tesseract::Tesseract::Clear | ( |  | ) |

Definition at line 413 of file tesseractclass.cpp.

{
pixDestroy(&pix_binary_);
pixDestroy(&cube_binary_);
pixDestroy(&pix_grey_);
pixDestroy(&scaled_color_);
deskew_ = FCOORD(1.0f, 0.0f);
reskew_ = FCOORD(1.0f, 0.0f);
splitter_.Clear();
scaled_factor_ = -1;
ResetFeaturesHaveBeenExtracted();
for (int i = 0; i < sub_langs_.size(); ++i)
sub_langs_[i]->Clear();
}

float tesseract::Tesseract::ComputeCompatibleXheight | ( | WERD_RES * | word_res | ) |

Definition at line 96 of file fixxht.cpp.

{
STATS top_stats(0, MAX_UINT8);
TBLOB* blob = word_res->rebuild_word->blobs;
int blob_id = 0;
for (; blob != NULL; blob = blob->next, ++blob_id) {
UNICHAR_ID class_id = word_res->best_choice->unichar_id(blob_id);
if (unicharset.get_isalpha(class_id) || unicharset.get_isdigit(class_id)) {
int top = blob->bounding_box().top();
// Clip the top to the limit of normalized feature space.
if (top >= INT_FEAT_RANGE)
top = INT_FEAT_RANGE - 1;
int bottom = blob->bounding_box().bottom();
int min_bottom, max_bottom, min_top, max_top;
unicharset.get_top_bottom(class_id, &min_bottom, &max_bottom,
&min_top, &max_top);
// Chars with a wild top range would mess up the result so ignore them.
if (max_top - min_top > kMaxCharTopRange)
continue;
int misfit_dist = MAX((min_top - x_ht_acceptance_tolerance) - top,
top - (max_top + x_ht_acceptance_tolerance));
int height = top - kBlnBaselineOffset;
if (debug_x_ht_level >= 20) {
tprintf("Class %s: height=%d, bottom=%d,%d top=%d,%d, actual=%d,%d : ",
unicharset.id_to_unichar(class_id),
height, min_bottom, max_bottom, min_top, max_top,
bottom, top);
}
// Use only chars that fit in the expected bottom range, and where
// the range of tops is sensibly near the xheight.
if (min_bottom <= bottom + x_ht_acceptance_tolerance &&
bottom - x_ht_acceptance_tolerance <= max_bottom &&
min_top > kBlnBaselineOffset &&
max_top - kBlnBaselineOffset >= kBlnXHeight &&
misfit_dist > 0) {
// Compute the x-height position using proportionality between the
// actual height and expected height.
int min_xht = DivRounded(height * kBlnXHeight,
max_top - kBlnBaselineOffset);
int max_xht = DivRounded(height * kBlnXHeight,
min_top - kBlnBaselineOffset);
if (debug_x_ht_level >= 20) {
tprintf(" xht range min=%d, max=%d\n",
min_xht, max_xht);
}
// The range of expected heights gets a vote equal to the distance
// of the actual top from the expected top.
for (int y = min_xht; y <= max_xht; ++y)
top_stats.add(y, misfit_dist);
} else if (debug_x_ht_level >= 20) {
tprintf(" already OK\n");
}
}
}
if (top_stats.get_total() == 0)
return 0.0f;
// The new xheight is just the median vote, which is then scaled out
// of BLN space back to pixel space to get the x-height in pixel space.
float new_xht = top_stats.median();
if (debug_x_ht_level >= 20) {
tprintf("Median xht=%f\n", new_xht);
tprintf("Mode20:A: New x-height = %f (norm), %f (orig)\n",
new_xht, new_xht / word_res->denorm.y_scale());
}
// The xheight must change by at least x_ht_min_change to be used.
if (fabs(new_xht - kBlnXHeight) >= x_ht_min_change)
return new_xht / word_res->denorm.y_scale();
else
return 0.0f;
}

void tesseract::Tesseract::convert_bad_unlv_chs | ( | WERD_RES * | word_res | ) |

Definition at line 666 of file docqual.cpp.

{
int i;
UNICHAR_ID unichar_dash = word_res->uch_set->unichar_to_id("-");
UNICHAR_ID unichar_space = word_res->uch_set->unichar_to_id(" ");
UNICHAR_ID unichar_tilde = word_res->uch_set->unichar_to_id("~");
UNICHAR_ID unichar_pow = word_res->uch_set->unichar_to_id("^");
bool modified = false;
for (i = 0; i < word_res->reject_map.length(); ++i) {
if (word_res->best_choice->unichar_id(i) == unichar_tilde) {
word_res->best_choice->set_unichar_id(unichar_dash, i);
modified = true;
if (word_res->reject_map[i].accepted ())
word_res->reject_map[i].setrej_unlv_rej ();
}
if (word_res->best_choice->unichar_id(i) == unichar_pow) {
word_res->best_choice->set_unichar_id(unichar_space, i);
modified = true;
if (word_res->reject_map[i].accepted ())
word_res->reject_map[i].setrej_unlv_rej ();
}
}
}

bool tesseract::Tesseract::ConvertStringToUnichars | ( | const char * | utf8,
|  | GenericVector< UNICHAR_ID > * | class_ids
| ) |  |

Definition at line 536 of file applybox.cpp.

{
for (int step = 0; *utf8 != '\0'; utf8 += step) {
const char* next_space = strchr(utf8, ' ');
if (next_space == NULL)
next_space = utf8 + strlen(utf8);
step = next_space - utf8;
UNICHAR_ID class_id = unicharset.unichar_to_id(utf8, step);
if (class_id == INVALID_UNICHAR_ID) {
return false;
}
while (utf8[step] == ' ')
++step;
class_ids->push_back(class_id);
}
return true;
}

void tesseract::Tesseract::CorrectClassifyWords | ( | PAGE_RES * | page_res | ) |

Definition at line 764 of file applybox.cpp.

{
PAGE_RES_IT pr_it(page_res);
for (WERD_RES *word_res = pr_it.word(); word_res != NULL;
word_res = pr_it.forward()) {
WERD_CHOICE* choice = new WERD_CHOICE(word_res->uch_set,
word_res->correct_text.size());
for (int i = 0; i < word_res->correct_text.size(); ++i) {
// The part before the first space is the real ground truth, and the
// rest is the bounding box location and page number.
GenericVector<STRING> tokens;
word_res->correct_text[i].split(' ', &tokens);
UNICHAR_ID char_id = unicharset.unichar_to_id(tokens[0].string());
choice->append_unichar_id_space_allocated(char_id, 1, 0.0f, 0.0f);
}
if (word_res->best_choice != NULL)
delete word_res->best_choice;
word_res->best_choice = choice;
}
}

inT16 tesseract::Tesseract::count_alphanums | ( | const WERD_CHOICE & | word | ) |

Definition at line 474 of file output.cpp.

{
int count = 0;
for (int i = 0; i < word.length(); ++i) {
if (word.unicharset()->get_isalpha(word.unichar_id(i)) ||
word.unicharset()->get_isdigit(word.unichar_id(i)))
count++;
}
return count;
}

inT16 tesseract::Tesseract::count_alphanums | ( | WERD_RES * | word | ) |

Definition at line 737 of file reject.cpp.

{
int count = 0;
const WERD_CHOICE *best_choice = word_res->best_choice;
for (int i = 0; i < word_res->reject_map.length(); ++i) {
if ((word_res->reject_map[i].accepted()) &&
(word_res->uch_set->get_isalpha(best_choice->unichar_id(i)) ||
word_res->uch_set->get_isdigit(best_choice->unichar_id(i)))) {
count++;
}
}
return count;
}

inT16 tesseract::Tesseract::count_alphas | ( | const WERD_CHOICE & | word | ) |

Definition at line 464 of file output.cpp.

{
int count = 0;
for (int i = 0; i < word.length(); ++i) {
if (word.unicharset()->get_isalpha(word.unichar_id(i)))
count++;
}
return count;
}

inT16 tesseract::Tesseract::count_outline_errs | ( | char | c,
|  | inT16 | outline_count
| ) |  |

Definition at line 131 of file docqual.cpp.

{
int expected_outline_count;
if (STRING (outlines_odd).contains (c))
return 0; //Dont use this char
else if (STRING (outlines_2).contains (c))
expected_outline_count = 2;
else
expected_outline_count = 1;
return abs (outline_count - expected_outline_count);
}

int tesseract::Tesseract::CountMisfitTops | ( | WERD_RES * | word_res | ) |

Definition at line 64 of file fixxht.cpp.

{
int bad_blobs = 0;
TBLOB* blob = word_res->rebuild_word->blobs;
int blob_id = 0;
for (; blob != NULL; blob = blob->next, ++blob_id) {
UNICHAR_ID class_id = word_res->best_choice->unichar_id(blob_id);
if (unicharset.get_isalpha(class_id) || unicharset.get_isdigit(class_id)) {
int top = blob->bounding_box().top();
if (top >= INT_FEAT_RANGE)
top = INT_FEAT_RANGE - 1;
int min_bottom, max_bottom, min_top, max_top;
unicharset.get_top_bottom(class_id, &min_bottom, &max_bottom,
&min_top, &max_top);
if (max_top - min_top > kMaxCharTopRange)
continue;
bool bad = top < min_top - x_ht_acceptance_tolerance ||
top > max_top + x_ht_acceptance_tolerance;
if (bad)
++bad_blobs;
if (debug_x_ht_level >= 1) {
tprintf("Class %s is %s with top %d vs limits of %d->%d, +/-%d\n",
unicharset.id_to_unichar(class_id),
bad ? "Misfit" : "OK", top, min_top, max_top,
static_cast<int>(x_ht_acceptance_tolerance));
}
}
}
return bad_blobs;
}

bool tesseract::Tesseract::create_cube_box_word | ( | Boxa * | char_boxes,
|  | int | num_chars,
|  | TBOX | word_box,
|  | BoxWord * | box_word
| ) |  |

Definition at line 116 of file cube_control.cpp.

{
if (!box_word) {
if (cube_debug_level > 0) {
tprintf("Cube WARNING (create_cube_box_word): Invalid box_word.\n");
}
return false;
}
// Find the x-coordinate of left-most char_box, which could be
// nonzero if the word image was padded before recognition took place.
int x_offset = -1;
for (int i = 0; i < num_chars; ++i) {
Box* char_box = boxaGetBox(char_boxes, i, L_CLONE);
if (x_offset < 0 || char_box->x < x_offset) {
x_offset = char_box->x;
}
boxDestroy(&char_box);
}
for (int i = 0; i < num_chars; ++i) {
Box* char_box = boxaGetBox(char_boxes, i, L_CLONE);
TBOX tbox = char_box_to_tbox(char_box, word_box, x_offset);
boxDestroy(&char_box);
box_word->InsertBox(i, tbox);
}
return true;
}

void tesseract::Tesseract::cube_combine_word | ( | CubeObject * | cube_obj,
|  | WERD_RES * | cube_word,
|  | WERD_RES * | tess_word
| ) |  |

Definition at line 323 of file cube_control.cpp.

{
float combiner_prob = tess_cube_combiner_->CombineResults(tess_word,
cube_obj);
// If combiner probability is greater than tess/cube combiner
// classifier threshold, i.e. tesseract wins, then just return the
// tesseract result unchanged, as the combiner knows nothing about how
// correct the answer is. If cube and tesseract agree, then improve the
// scores before returning.
WERD_CHOICE* tess_best = tess_word->best_choice;
WERD_CHOICE* cube_best = cube_word->best_choice;
if (cube_debug_level || classify_debug_level) {
tprintf("Combiner prob = %g vs threshold %g\n",
combiner_prob, cube_cntxt_->Params()->CombinerClassifierThresh());
}
if (combiner_prob >=
cube_cntxt_->Params()->CombinerClassifierThresh()) {
if (tess_best->unichar_string() == cube_best->unichar_string()) {
// Cube and tess agree, so improve the scores.
tess_best->set_rating(tess_best->rating() / 2);
tess_best->set_certainty(tess_best->certainty() / 2);
}
return;
}
// Cube wins.
// It is better for the language combiner to have all tesseract scores,
// so put them in the cube result.
cube_best->set_rating(tess_best->rating());
cube_best->set_certainty(tess_best->certainty());
if (cube_debug_level || classify_debug_level) {
tprintf("Cube INFO: tesseract result replaced by cube: %s -> %s\n",
tess_best->unichar_string().string(),
cube_best->unichar_string().string());
}
tess_word->ConsumeWordResults(cube_word);
}

bool tesseract::Tesseract::cube_recognize | ( | CubeObject * | cube_obj,
|  | BLOCK * | block,
|  | WERD_RES * | word
| ) |  |

Definition at line 366 of file cube_control.cpp.

{
if (!word->SetupForCubeRecognition(unicharset, this, block)) {
return false; // Graphics block.
}
// Run cube
WordAltList *cube_alt_list = cube_obj->RecognizeWord();
if (!cube_alt_list || cube_alt_list->AltCount() <= 0) {
if (cube_debug_level > 0) {
tprintf("Cube returned nothing for word at:");
word->word->bounding_box().print();
}
word->SetupFake(unicharset);
return false;
}
// Get cube's best result and its probability, mapped to tesseract's
// certainty range
char_32 *cube_best_32 = cube_alt_list->Alt(0);
double cube_prob = CubeUtils::Cost2Prob(cube_alt_list->AltCost(0));
float cube_certainty = convert_prob_to_tess_certainty(cube_prob);
string cube_best_str;
CubeUtils::UTF32ToUTF8(cube_best_32, &cube_best_str);
// Retrieve Cube's character bounding boxes and CharSamples,
// corresponding to the most recent call to RecognizeWord().
Boxa *char_boxes = NULL;
CharSamp **char_samples = NULL;;
int num_chars;
if (!extract_cube_state(cube_obj, &num_chars, &char_boxes, &char_samples)
&& cube_debug_level > 0) {
tprintf("Cube WARNING (Tesseract::cube_recognize): Cannot extract "
"cube state.\n");
word->SetupFake(unicharset);
return false;
}
// Convert cube's character bounding boxes to a BoxWord.
BoxWord cube_box_word;
TBOX tess_word_box = word->word->bounding_box();
if (word->denorm.block() != NULL)
tess_word_box.rotate(word->denorm.block()->re_rotation());
bool box_word_success = create_cube_box_word(char_boxes, num_chars,
tess_word_box,
&cube_box_word);
boxaDestroy(&char_boxes);
if (!box_word_success) {
if (cube_debug_level > 0) {
tprintf("Cube WARNING (Tesseract::cube_recognize): Could not "
"create cube BoxWord\n");
}
word->SetupFake(unicharset);
return false;
}
// Create cube's best choice.
WERD_CHOICE* cube_werd_choice = create_werd_choice(
char_samples, num_chars, cube_best_str.c_str(), cube_certainty,
unicharset, cube_cntxt_->CharacterSet());
delete []char_samples;
if (!cube_werd_choice) {
if (cube_debug_level > 0) {
tprintf("Cube WARNING (Tesseract::cube_recognize): Could not "
"create cube WERD_CHOICE\n");
}
word->SetupFake(unicharset);
return false;
}
if (cube_debug_level || classify_debug_level) {
tprintf("Cube result: %s r=%g, c=%g\n",
cube_werd_choice->unichar_string().string(),
cube_werd_choice->rating(),
cube_werd_choice->certainty());
}
// Fill tesseract result's fields with cube results
fill_werd_res(cube_box_word, cube_werd_choice, cube_best_str.c_str(), word);
return true;
}

CubeObject * tesseract::Tesseract::cube_recognize_word | ( | BLOCK * | block,
|  | WERD_RES * | word
| ) |  |

Definition at line 286 of file cube_control.cpp.

{
if (!cube_binary_ || !cube_cntxt_) {
if (cube_debug_level > 0 && !cube_binary_)
tprintf("Tesseract::run_cube(): NULL binary image.\n");
word->SetupFake(unicharset);
return NULL;
}
TBOX word_box = word->word->bounding_box();
if (block != NULL && (block->re_rotation().x() != 1.0f ||
block->re_rotation().y() != 0.0f)) {
// TODO(rays) We have to rotate the bounding box to get the true coords.
// This will be achieved in the future via DENORM.
// In the mean time, cube can't process this word.
if (cube_debug_level > 0) {
tprintf("Cube can't process rotated word at:");
word_box.print();
}
word->SetupFake(unicharset);
return NULL;
}
CubeObject* cube_obj = new tesseract::CubeObject(
cube_cntxt_, cube_binary_, word_box.left(),
pixGetHeight(cube_binary_) - word_box.top(),
word_box.width(), word_box.height());
if (!cube_recognize(cube_obj, block, word)) {
delete cube_obj;
return NULL;
}
return cube_obj;
}

void tesseract::Tesseract::cube_word_pass1 | ( | BLOCK * | block,
|  | ROW * | row,
|  | WERD_RES * | word
| ) |  |

Definition at line 275 of file cube_control.cpp.

{
CubeObject *cube_obj = cube_recognize_word(block, word);
delete cube_obj;
}

void tesseract::Tesseract::debug_word | ( | PAGE_RES * | page_res,
|  | const TBOX & | selection_box
| ) |  |

debug_word

Process the whole image, but load word_config_ for the selected word(s).

Definition at line 636 of file pgedit.cpp.

{
ResetAdaptiveClassifier();
recog_all_words(page_res, NULL, &selection_box, word_config_.string(), 0);
}

BOOL8 tesseract::Tesseract::digit_or_numeric_punct | ( | WERD_RES * | word,
|  | int | char_position
| ) |  |

Definition at line 344 of file fixspace.cpp.

{
int i;
int offset;
for (i = 0, offset = 0; i < char_position;
offset += word->best_choice->unichar_lengths()[i++]);
return (
word->uch_set->get_isdigit(
word->best_choice->unichar_string().string() + offset,
word->best_choice->unichar_lengths()[i]) ||
(word->best_choice->permuter() == NUMBER_PERM &&
STRING(numeric_punctuation).contains(
word->best_choice->unichar_string().string()[offset])));
}

void tesseract::Tesseract::do_re_display | ( | BOOL8(tesseract::Tesseract::*)(BLOCK *block, ROW *row, WERD_RES *word_res) | word_painter | ) |

do_re_display()

Redisplay page

Definition at line 306 of file pgedit.cpp.

{
PAGE_RES_IT pr_it(current_page_res);
int block_count = 1;
image_win->Clear();
if (display_image != 0) {
image_win->Image(pix_binary_, 0, 0);
}
for (WERD_RES* word = pr_it.word(); word != NULL; word = pr_it.forward()) {
(this->*word_painter)(pr_it.block()->block, pr_it.row()->row, word);
if (display_baselines && pr_it.row() != pr_it.prev_row())
pr_it.row()->row->plot_baseline(image_win, ScrollView::GREEN);
if (display_blocks && pr_it.block() != pr_it.prev_block())
pr_it.block()->block->plot(image_win, block_count++, ScrollView::RED);
}
image_win->Update();
}

void tesseract::Tesseract::doc_and_block_rejection | ( | PAGE_RES_IT & | page_res_it,
|  | BOOL8 | good_quality_doc
| ) |  |

Definition at line 238 of file docqual.cpp.

{
inT16 block_no = 0;
inT16 row_no = 0;
BLOCK_RES *current_block;
ROW_RES *current_row;
BOOL8 rej_word;
BOOL8 prev_word_rejected;
inT16 char_quality = 0;
inT16 accepted_char_quality;
if (page_res_it.page_res->rej_count * 100.0 /
page_res_it.page_res->char_count > tessedit_reject_doc_percent) {
reject_whole_page(page_res_it);
if (tessedit_debug_doc_rejection) {
tprintf("REJECT ALL #chars: %d #Rejects: %d; \n",
page_res_it.page_res->char_count,
page_res_it.page_res->rej_count);
}
} else {
if (tessedit_debug_doc_rejection) {
tprintf("NO PAGE REJECTION #chars: %d # Rejects: %d; \n",
page_res_it.page_res->char_count,
page_res_it.page_res->rej_count);
}
/* Walk blocks testing for block rejection */
page_res_it.restart_page();
WERD_RES* word;
while ((word = page_res_it.word()) != NULL) {
current_block = page_res_it.block();
block_no = current_block->block->index();
if (current_block->char_count > 0 &&
(current_block->rej_count * 100.0 / current_block->char_count) >
tessedit_reject_block_percent) {
if (tessedit_debug_block_rejection) {
tprintf("REJECTING BLOCK %d #chars: %d; #Rejects: %d\n",
block_no, current_block->char_count,
current_block->rej_count);
}
prev_word_rejected = FALSE;
while ((word = page_res_it.word()) != NULL &&
(page_res_it.block() == current_block)) {
if (tessedit_preserve_blk_rej_perfect_wds) {
rej_word = word->reject_map.reject_count() > 0 ||
word->reject_map.length () < tessedit_preserve_min_wd_len;
if (rej_word && tessedit_dont_blkrej_good_wds &&
word->reject_map.length() >= tessedit_preserve_min_wd_len &&
acceptable_word_string(
*word->uch_set,
word->best_choice->unichar_string().string(),
word->best_choice->unichar_lengths().string()) !=
AC_UNACCEPTABLE) {
word_char_quality(word, page_res_it.row()->row,
&char_quality,
&accepted_char_quality);
rej_word = char_quality != word->reject_map.length();
}
} else {
rej_word = TRUE;
}
if (rej_word) {
/*
Reject spacing if both current and prev words are rejected.
NOTE - this is NOT restricted to FUZZY spaces. - When tried this
generated more space errors.
*/
if (tessedit_use_reject_spaces &&
prev_word_rejected &&
page_res_it.prev_row() == page_res_it.row() &&
word->word->space() == 1)
word->reject_spaces = TRUE;
word->reject_map.rej_word_block_rej();
}
prev_word_rejected = rej_word;
page_res_it.forward();
}
} else {
if (tessedit_debug_block_rejection) {
tprintf("NOT REJECTING BLOCK %d #chars: %d # Rejects: %d; \n",
block_no, page_res_it.block()->char_count,
page_res_it.block()->rej_count);
}
/* Walk rows in block testing for row rejection */
row_no = 0;
while ((word = page_res_it.word()) != NULL &&
page_res_it.block() == current_block) {
current_row = page_res_it.row();
row_no++;
/* Reject whole row if:
fraction of chars on row which are rejected exceed a limit AND
fraction rejects which occur in WHOLE WERD rejects is LESS THAN a
limit
*/
if (current_row->char_count > 0 &&
(current_row->rej_count * 100.0 / current_row->char_count) >
tessedit_reject_row_percent &&
(current_row->whole_word_rej_count * 100.0 /
current_row->rej_count) <
tessedit_whole_wd_rej_row_percent) {
if (tessedit_debug_block_rejection) {
tprintf("REJECTING ROW %d #chars: %d; #Rejects: %d\n",
row_no, current_row->char_count,
current_row->rej_count);
}
prev_word_rejected = FALSE;
while ((word = page_res_it.word()) != NULL &&
page_res_it.row () == current_row) {
/* Preserve words on good docs unless they are mostly rejected*/
if (!tessedit_row_rej_good_docs && good_quality_doc) {
rej_word = word->reject_map.reject_count() /
static_cast<float>(word->reject_map.length()) >
tessedit_good_doc_still_rowrej_wd;
} else if (tessedit_preserve_row_rej_perfect_wds) {
/* Preserve perfect words anyway */
rej_word = word->reject_map.reject_count() > 0 ||
word->reject_map.length () < tessedit_preserve_min_wd_len;
if (rej_word && tessedit_dont_rowrej_good_wds &&
word->reject_map.length() >= tessedit_preserve_min_wd_len &&
acceptable_word_string(*word->uch_set,
word->best_choice->unichar_string().string(),
word->best_choice->unichar_lengths().string()) !=
AC_UNACCEPTABLE) {
word_char_quality(word, page_res_it.row()->row,
&char_quality,
&accepted_char_quality);
rej_word = char_quality != word->reject_map.length();
}
} else {
rej_word = TRUE;
}
if (rej_word) {
/*
Reject spacing if both current and prev words are rejected.
NOTE - this is NOT restricted to FUZZY spaces. - When tried
this generated more space errors.
*/
if (tessedit_use_reject_spaces &&
prev_word_rejected &&
page_res_it.prev_row() == page_res_it.row() &&
word->word->space () == 1)
word->reject_spaces = TRUE;
word->reject_map.rej_word_row_rej();
}
prev_word_rejected = rej_word;
page_res_it.forward();
}
} else {
if (tessedit_debug_block_rejection) {
tprintf("NOT REJECTING ROW %d #chars: %d # Rejects: %d; \n",
row_no, current_row->char_count, current_row->rej_count);
}
while (page_res_it.word() != NULL &&
page_res_it.row() == current_row)
page_res_it.forward();
}
}
}
}
}
}

void tesseract::Tesseract::dont_allow_1Il | ( | WERD_RES * | word | ) |

Definition at line 705 of file reject.cpp.

{
int i = 0;
int offset;
int word_len = word->reject_map.length();
const char *s = word->best_choice->unichar_string().string();
const char *lengths = word->best_choice->unichar_lengths().string();
BOOL8 accepted_1Il = FALSE;
for (i = 0, offset = 0; i < word_len;
offset += word->best_choice->unichar_lengths()[i++]) {
if (word->reject_map[i].accepted()) {
if (STRING(conflict_set_I_l_1).contains(s[offset])) {
accepted_1Il = TRUE;
} else {
if (word->uch_set->get_isalpha(s + offset, lengths[i]) ||
word->uch_set->get_isdigit(s + offset, lengths[i]))
return; // >=1 non 1Il ch accepted
}
}
}
if (!accepted_1Il)
return; //Nothing to worry about
for (i = 0, offset = 0; i < word_len;
offset += word->best_choice->unichar_lengths()[i++]) {
if (STRING(conflict_set_I_l_1).contains(s[offset]) &&
word->reject_map[i].accepted())
word->reject_map[i].setrej_postNN_1Il();
}
}

void tesseract::Tesseract::dump_words | ( | WERD_RES_LIST & | perm,
|  | inT16 | score,
|  | inT16 | mode,
|  | BOOL8 | improved
| ) |  |

Definition at line 450 of file fixspace.cpp.

{
WERD_RES_IT word_res_it(&perm);
if (debug_fix_space_level > 0) {
if (mode == 1) {
stats_.dump_words_str = "";
for (word_res_it.mark_cycle_pt(); !word_res_it.cycled_list();
word_res_it.forward()) {
if (!word_res_it.data()->part_of_combo) {
stats_.dump_words_str +=
word_res_it.data()->best_choice->unichar_string();
stats_.dump_words_str += ' ';
}
}
}
#ifndef SECURE_NAMES
if (debug_fix_space_level > 1) {
switch (mode) {
case 1:
tprintf("EXTRACTED (%d): \"", score);
break;
case 2:
tprintf("TESTED (%d): \"", score);
break;
case 3:
tprintf("RETURNED (%d): \"", score);
break;
}
for (word_res_it.mark_cycle_pt(); !word_res_it.cycled_list();
word_res_it.forward()) {
if (!word_res_it.data()->part_of_combo) {
tprintf("%s/%1d ",
word_res_it.data()->best_choice->unichar_string().string(),
(int)word_res_it.data()->best_choice->permuter());
}
}
tprintf("\"\n");
} else if (improved) {
tprintf("FIX SPACING \"%s\" => \"", stats_.dump_words_str.string());
for (word_res_it.mark_cycle_pt(); !word_res_it.cycled_list();
word_res_it.forward()) {
if (!word_res_it.data()->part_of_combo) {
tprintf("%s/%1d ",
word_res_it.data()->best_choice->unichar_string().string(),
(int)word_res_it.data()->best_choice->permuter());
}
}
tprintf("\"\n");
}
#endif
}
}

void tesseract::Tesseract::end_tesseract | ( |  | ) |

Definition at line 431 of file tessedit.cpp.

{
end_recog();
}

inT16 tesseract::Tesseract::eval_word_spacing | ( | WERD_RES_LIST & | word_res_list | ) |

Definition at line 240 of file fixspace.cpp.

{
WERD_RES_IT word_res_it(&word_res_list);
inT16 total_score = 0;
inT16 word_count = 0;
inT16 done_word_count = 0;
inT16 word_len;
inT16 i;
inT16 offset;
WERD_RES *word; // current word
inT16 prev_word_score = 0;
BOOL8 prev_word_done = FALSE;
BOOL8 prev_char_1 = FALSE; // prev ch a "1/I/l"?
BOOL8 prev_char_digit = FALSE; // prev ch 2..9 or 0
BOOL8 current_char_1 = FALSE;
BOOL8 current_word_ok_so_far;
STRING punct_chars = "!\"`',.:;";
BOOL8 prev_char_punct = FALSE;
BOOL8 current_char_punct = FALSE;
BOOL8 word_done = FALSE;
do {
word = word_res_it.data();
word_done = fixspace_thinks_word_done(word);
word_count++;
if (word->tess_failed) {
total_score += prev_word_score;
if (prev_word_done)
done_word_count++;
prev_word_score = 0;
prev_char_1 = FALSE;
prev_char_digit = FALSE;
prev_word_done = FALSE;
} else {
/*
Can we add the prev word score and potentially count this word?
Yes IF it didnt end in a 1 when the first char of this word is a digit
AND it didnt end in a digit when the first char of this word is a 1
*/
word_len = word->reject_map.length();
current_word_ok_so_far = FALSE;
if (!((prev_char_1 && digit_or_numeric_punct(word, 0)) ||
(prev_char_digit && (
(word_done &&
word->best_choice->unichar_lengths().string()[0] == 1 &&
word->best_choice->unichar_string()[0] == '1') ||
(!word_done && STRING(conflict_set_I_l_1).contains(
word->best_choice->unichar_string()[0])))))) {
total_score += prev_word_score;
if (prev_word_done)
done_word_count++;
current_word_ok_so_far = word_done;
}
if (current_word_ok_so_far) {
prev_word_done = TRUE;
prev_word_score = word_len;
} else {
prev_word_done = FALSE;
prev_word_score = 0;
}
/* Add 1 to total score for every joined 1 regardless of context and
rejtn */
for (i = 0, prev_char_1 = FALSE; i < word_len; i++) {
current_char_1 = word->best_choice->unichar_string()[i] == '1';
if (prev_char_1 || (current_char_1 && (i > 0)))
total_score++;
prev_char_1 = current_char_1;
}
/* Add 1 to total score for every joined punctuation regardless of context
and rejtn */
if (tessedit_prefer_joined_punct) {
for (i = 0, offset = 0, prev_char_punct = FALSE; i < word_len;
offset += word->best_choice->unichar_lengths()[i++]) {
current_char_punct =
punct_chars.contains(word->best_choice->unichar_string()[offset]);
if (prev_char_punct || (current_char_punct && i > 0))
total_score++;
prev_char_punct = current_char_punct;
}
}
prev_char_digit = digit_or_numeric_punct(word, word_len - 1);
for (i = 0, offset = 0; i < word_len - 1;
offset += word->best_choice->unichar_lengths()[i++]);
prev_char_1 =
((word_done && (word->best_choice->unichar_string()[offset] == '1'))
|| (!word_done && STRING(conflict_set_I_l_1).contains(
word->best_choice->unichar_string()[offset])));
}
/* Find next word */
do {
word_res_it.forward();
} while (word_res_it.data()->part_of_combo);
} while (!word_res_it.at_first());
total_score += prev_word_score;
if (prev_word_done)
done_word_count++;
if (done_word_count == word_count)
return PERFECT_WERDS;
else
return total_score;
}

void tesseract::Tesseract::ExplodeRepeatedWord | ( | BLOB_CHOICE * | best_choice,
|  | PAGE_RES_IT * | page_res_it
| ) |  |

Definition at line 1252 of file control.cpp.

{
WERD_RES *word_res = page_res_it->word();
ASSERT_HOST(best_choice != NULL);
// Make a new word for each blob in the original.
WERD* werd = word_res->word;
C_BLOB_IT blob_it(werd->cblob_list());
for (; !blob_it.empty(); blob_it.forward()) {
bool first_blob = blob_it.at_first();
bool last_blob = blob_it.at_last();
WERD* blob_word = werd->ConstructFromSingleBlob(first_blob, last_blob,
blob_it.extract());
// Note that blamer_bundle (truth information) is not copied, which is
// desirable, since the newly inserted words would not have the original
// bounding box corresponding to the one recorded in truth fields.
WERD_RES* rep_word =
page_res_it->InsertSimpleCloneWord(*word_res, blob_word);
// Setup the single char WERD_RES
if (rep_word->SetupForTessRecognition(*word_res->uch_set, this, BestPix(),
false,
this->textord_use_cjk_fp_model,
page_res_it->row()->row,
page_res_it->block()->block)) {
rep_word->CloneChoppedToRebuild();
BLOB_CHOICE* blob_choice = new BLOB_CHOICE(*best_choice);
rep_word->FakeClassifyWord(1, &blob_choice);
}
}
page_res_it->DeleteCurrentWord();
}

bool tesseract::Tesseract::extract_cube_state | ( | CubeObject * | cube_obj,
|  | int * | num_chars,
|  | Boxa ** | char_boxes,
|  | CharSamp *** | char_samples
| ) |  |

Definition at line 65 of file cube_control.cpp.

{
if (!cube_obj) {
if (cube_debug_level > 0) {
tprintf("Cube WARNING (extract_cube_state): Invalid cube object "
"passed to extract_cube_state\n");
}
return false;
}
// Note that the CubeObject accessors return either the deslanted or
// regular objects search object or beam search object, whichever
// was used in the last call to Recognize()
CubeSearchObject* cube_search_obj = cube_obj->SrchObj();
if (!cube_search_obj) {
if (cube_debug_level > 0) {
tprintf("Cube WARNING (Extract_cube_state): Could not retrieve "
"cube's search object in extract_cube_state.\n");
}
return false;
}
BeamSearch *beam_search_obj = cube_obj->BeamObj();
if (!beam_search_obj) {
if (cube_debug_level > 0) {
tprintf("Cube WARNING (Extract_cube_state): Could not retrieve "
"cube's beam search object in extract_cube_state.\n");
}
return false;
}
// Get the character samples and bounding boxes by backtracking
// through the beam search path
int best_node_index = beam_search_obj->BestPresortedNodeIndex();
*char_samples = beam_search_obj->BackTrack(
cube_search_obj, best_node_index, num_chars, NULL, char_boxes);
if (!*char_samples)
return false;
return true;
}

inT16 tesseract::Tesseract::failure_count | ( | WERD_RES * | word | ) |

Definition at line 975 of file docqual.cpp.

{
const char *str = word->best_choice->unichar_string().string();
int tess_rejs = 0;
for (; *str != '\0'; str++) {
if (*str == ' ')
tess_rejs++;
}
return tess_rejs;
}

void tesseract::Tesseract::fill_werd_res | ( | const BoxWord & | cube_box_word,
|  | WERD_CHOICE * | cube_werd_choice,
|  | const char * | cube_best_str,
|  | WERD_RES * | tess_werd_res
| ) |  |

Definition at line 454 of file cube_control.cpp.

{
// Replace tesseract results's best choice with cube's
tess_werd_res->best_choice = cube_werd_choice;
tess_werd_res->raw_choice = new WERD_CHOICE(*cube_werd_choice);
delete tess_werd_res->box_word;
tess_werd_res->box_word = new BoxWord(cube_box_word);
tess_werd_res->box_word->ClipToOriginalWord(tess_werd_res->denorm.block(),
tess_werd_res->word);
// Fill text and remaining fields
tess_werd_res->word->set_text(cube_best_str);
tess_werd_res->tess_failed = FALSE;
tess_werd_res->tess_accepted =
tess_acceptable_word(tess_werd_res->best_choice,
tess_werd_res->raw_choice);
// There is no output word, so we can' call AdaptableWord, but then I don't
// think we need to. Fudge the result with accepted.
tess_werd_res->tess_would_adapt = tess_werd_res->tess_accepted;
// Initialize the reject_map and set it to done, i.e., ignore all of
// tesseract's tests for rejection
tess_werd_res->reject_map.initialise(cube_werd_choice->length());
tess_werd_res->done = tess_werd_res->tess_accepted;
// Some sanity checks
ASSERT_HOST(tess_werd_res->best_choice->length() ==
tess_werd_res->best_choice->blob_choices()->length());
ASSERT_HOST(tess_werd_res->best_choice->length() ==
tess_werd_res->reject_map.length());
}

bool tesseract::Tesseract::FindSegmentation | ( | const GenericVector< UNICHAR_ID > & | target_text,
|  | WERD_RES * | word_res
| ) |  |

Definition at line 560 of file applybox.cpp.

{
blob_match_table.init_match_table();
// Classify all required combinations of blobs and save results in choices.
int word_length = word_res->box_word->length();
GenericVector<BLOB_CHOICE_LIST*>* choices =
new GenericVector<BLOB_CHOICE_LIST*>[word_length];
for (int i = 0; i < word_length; ++i) {
for (int j = 1; j <= kMaxGroupSize && i + j <= word_length; ++j) {
BLOB_CHOICE_LIST* match_result = classify_piece(
word_res->chopped_word->blobs, word_res->denorm, word_res->seam_array,
i, i + j - 1, word_res->blamer_bundle);
if (applybox_debug > 2) {
tprintf("%d+%d:", i, j);
print_ratings_list("Segment:", match_result, unicharset);
}
choices[i].push_back(match_result);
}
}
// Search the segmentation graph for the target text. Must be an exact
// match. Using wildcards makes it difficult to find the correct
// segmentation even when it is there.
word_res->best_state.clear();
GenericVector<int> search_segmentation;
float best_rating = 0.0f;
SearchForText(choices, 0, word_length, target_text, 0, 0.0f,
&search_segmentation, &best_rating, &word_res->best_state);
blob_match_table.end_match_table();
for (int i = 0; i < word_length; ++i)
choices[i].delete_data_pointers();
delete [] choices;
if (word_res->best_state.empty()) {
// Build the original segmentation and if it is the same length as the
// truth, assume it will do.
int blob_count = 1;
for (int s = 0; s < array_count(word_res->seam_array); ++s) {
SEAM* seam =
reinterpret_cast<SEAM*>(array_value(word_res->seam_array, s));
if (seam->split1 == NULL) {
word_res->best_state.push_back(blob_count);
blob_count = 1;
} else {
++blob_count;
}
}
word_res->best_state.push_back(blob_count);
if (word_res->best_state.size() != target_text.size()) {
word_res->best_state.clear(); // No good. Original segmentation bad size.
return false;
}
}
word_res->correct_text.clear();
for (int i = 0; i < target_text.size(); ++i) {
word_res->correct_text.push_back(
STRING(unicharset.id_to_unichar(target_text[i])));
}
return true;
}

inT16 tesseract::Tesseract::first_alphanum_index | ( | const char * | word,
|  | const char * | word_lengths
| ) |  |

Definition at line 633 of file reject.cpp.

{
inT16 i;
inT16 offset;
for (i = 0, offset = 0; word[offset] != '\0'; offset += word_lengths[i++]) {
if (unicharset.get_isalpha(word + offset, word_lengths[i]) ||
unicharset.get_isdigit(word + offset, word_lengths[i]))
return i;
}
return -1;
}

inT16 tesseract::Tesseract::first_alphanum_offset | ( | const char * | word,
|  | const char * | word_lengths
| ) |  |

Definition at line 646 of file reject.cpp.

{
inT16 i;
inT16 offset;
for (i = 0, offset = 0; word[offset] != '\0'; offset += word_lengths[i++]) {
if (unicharset.get_isalpha(word + offset, word_lengths[i]) ||
unicharset.get_isdigit(word + offset, word_lengths[i]))
return offset;
}
return -1;
}

void tesseract::Tesseract::fix_fuzzy_space_list | ( | WERD_RES_LIST & | best_perm,
|  | ROW * | row,
|  | BLOCK * | block
| ) |  |

Definition at line 146 of file fixspace.cpp.

{
inT16 best_score;
WERD_RES_LIST current_perm;
inT16 current_score;
BOOL8 improved = FALSE;
best_score = eval_word_spacing(best_perm); // default score
dump_words(best_perm, best_score, 1, improved);
if (best_score != PERFECT_WERDS)
initialise_search(best_perm, current_perm);
while ((best_score != PERFECT_WERDS) && !current_perm.empty()) {
match_current_words(current_perm, row, block);
current_score = eval_word_spacing(current_perm);
dump_words(current_perm, current_score, 2, improved);
if (current_score > best_score) {
best_perm.clear();
best_perm.deep_copy(&current_perm, &WERD_RES::deep_copy);
best_score = current_score;
improved = TRUE;
}
if (current_score < PERFECT_WERDS)
transform_to_next_perm(current_perm);
}
dump_words(best_perm, best_score, 3, improved);
}

void tesseract::Tesseract::fix_fuzzy_spaces | ( | ETEXT_DESC * | monitor,
|  | inT32 | word_count,
|  | PAGE_RES * | page_res
| ) |  |

Definition at line 49 of file fixspace.cpp.

{
BLOCK_RES_IT block_res_it;
ROW_RES_IT row_res_it;
WERD_RES_IT word_res_it_from;
WERD_RES_IT word_res_it_to;
WERD_RES *word_res;
WERD_RES_LIST fuzzy_space_words;
inT16 new_length;
BOOL8 prevent_null_wd_fixsp; // DONT process blobless wds
inT32 word_index; // current word
block_res_it.set_to_list(&page_res->block_res_list);
word_index = 0;
for (block_res_it.mark_cycle_pt(); !block_res_it.cycled_list();
block_res_it.forward()) {
row_res_it.set_to_list(&block_res_it.data()->row_res_list);
for (row_res_it.mark_cycle_pt(); !row_res_it.cycled_list();
row_res_it.forward()) {
word_res_it_from.set_to_list(&row_res_it.data()->word_res_list);
while (!word_res_it_from.at_last()) {
word_res = word_res_it_from.data();
while (!word_res_it_from.at_last() &&
!(word_res->combination ||
word_res_it_from.data_relative(1)->word->flag(W_FUZZY_NON) ||
word_res_it_from.data_relative(1)->word->flag(W_FUZZY_SP))) {
fix_sp_fp_word(word_res_it_from, row_res_it.data()->row,
block_res_it.data()->block);
word_res = word_res_it_from.forward();
word_index++;
if (monitor != NULL) {
monitor->ocr_alive = TRUE;
monitor->progress = 90 + 5 * word_index / word_count;
if (monitor->deadline_exceeded() ||
(monitor->cancel != NULL &&
(*monitor->cancel)(monitor->cancel_this, stats_.dict_words)))
return;
}
}
if (!word_res_it_from.at_last()) {
word_res_it_to = word_res_it_from;
prevent_null_wd_fixsp =
word_res->word->cblob_list()->empty();
if (check_debug_pt(word_res, 60))
debug_fix_space_level.set_value(10);
word_res_it_to.forward();
word_index++;
if (monitor != NULL) {
monitor->ocr_alive = TRUE;
monitor->progress = 90 + 5 * word_index / word_count;
if (monitor->deadline_exceeded() ||
(monitor->cancel != NULL &&
(*monitor->cancel)(monitor->cancel_this, stats_.dict_words)))
return;
}
while (!word_res_it_to.at_last () &&
(word_res_it_to.data_relative(1)->word->flag(W_FUZZY_NON) ||
word_res_it_to.data_relative(1)->word->flag(W_FUZZY_SP))) {
if (check_debug_pt(word_res, 60))
debug_fix_space_level.set_value(10);
if (word_res->word->cblob_list()->empty())
prevent_null_wd_fixsp = TRUE;
word_res = word_res_it_to.forward();
}
if (check_debug_pt(word_res, 60))
debug_fix_space_level.set_value(10);
if (word_res->word->cblob_list()->empty())
prevent_null_wd_fixsp = TRUE;
if (prevent_null_wd_fixsp) {
word_res_it_from = word_res_it_to;
} else {
fuzzy_space_words.assign_to_sublist(&word_res_it_from,
&word_res_it_to);
fix_fuzzy_space_list(fuzzy_space_words,
row_res_it.data()->row,
block_res_it.data()->block);
new_length = fuzzy_space_words.length();
word_res_it_from.add_list_before(&fuzzy_space_words);
for (;
!word_res_it_from.at_last() && new_length > 0;
new_length--) {
word_res_it_from.forward();
}
}
if (test_pt)
debug_fix_space_level.set_value(0);
}
fix_sp_fp_word(word_res_it_from, row_res_it.data()->row,
block_res_it.data()->block);
// Last word in row
}
}
}
}

void tesseract::Tesseract::fix_noisy_space_list | ( | WERD_RES_LIST & | best_perm,
|  | ROW * | row,
|  | BLOCK * | block
| ) |  |

Definition at line 652 of file fixspace.cpp.

{
inT16 best_score;
WERD_RES_IT best_perm_it(&best_perm);
WERD_RES_LIST current_perm;
WERD_RES_IT current_perm_it(&current_perm);
WERD_RES *old_word_res;
WERD_RES *new_word_res;
inT16 current_score;
BOOL8 improved = FALSE;
best_score = fp_eval_word_spacing(best_perm); // default score
dump_words(best_perm, best_score, 1, improved);
new_word_res = new WERD_RES;
old_word_res = best_perm_it.data();
old_word_res->combination = TRUE; // Kludge to force deep copy
*new_word_res = *old_word_res; // deep copy
old_word_res->combination = FALSE; // Undo kludge
current_perm_it.add_to_end(new_word_res);
break_noisiest_blob_word(current_perm);
while (best_score != PERFECT_WERDS && !current_perm.empty()) {
match_current_words(current_perm, row, block);
current_score = fp_eval_word_spacing(current_perm);
dump_words(current_perm, current_score, 2, improved);
if (current_score > best_score) {
best_perm.clear();
best_perm.deep_copy(&current_perm, &WERD_RES::deep_copy);
best_score = current_score;
improved = TRUE;
}
if (current_score < PERFECT_WERDS) {
break_noisiest_blob_word(current_perm);
}
}
dump_words(best_perm, best_score, 3, improved);
}

void tesseract::Tesseract::fix_rep_char | ( | PAGE_RES_IT * | page_res_it | ) |

fix_rep_char() The word is a repeated char. (Leader.) Find the repeated char character. Create the appropriate single-word or multi-word sequence according to the size of spaces in between blobs, and correct the classifications where some of the characters disagree with the majority.

Definition at line 1200 of file control.cpp.

{
WERD_RES *word_res = page_res_it->word();
const WERD_CHOICE &word = *(word_res->best_choice);
// Find the frequency of each unique character in the word.
UNICHAR_ID space = word_res->uch_set->unichar_to_id(" ");
SortHelper<UNICHAR_ID> rep_ch(word.length());
for (int i = 0; i < word.length(); ++i) {
if (word.unichar_id(i) != space)
rep_ch.Add(word.unichar_id(i), 1);
}
// Find the most frequent result.
UNICHAR_ID maxch_id = INVALID_UNICHAR_ID; // most common char
int max_count = rep_ch.MaxCount(&maxch_id);
// Find the best exemplar of a classifier result for maxch_id.
BLOB_CHOICE* best_choice = FindBestMatchingChoice(maxch_id, word_res);
if (best_choice == NULL) {
tprintf("Failed to find a choice for %s, occurring %d times\n",
word_res->uch_set->debug_str(maxch_id).string(), max_count);
return;
}
word_res->done = TRUE;
// Measure the mean space.
int total_gap = 0;
int gap_count = 0;
WERD* werd = word_res->word;
C_BLOB_IT blob_it(werd->cblob_list());
C_BLOB* prev_blob = blob_it.data();
for (blob_it.forward(); !blob_it.at_first(); blob_it.forward()) {
C_BLOB* blob = blob_it.data();
int gap = blob->bounding_box().left();
gap -= prev_blob->bounding_box().right();
total_gap += gap;
++gap_count;
prev_blob = blob;
}
if (total_gap > word_res->x_height * gap_count * kRepcharGapThreshold) {
// Needs spaces between.
ExplodeRepeatedWord(best_choice, page_res_it);
} else {
// Just correct existing classification.
CorrectRepcharChoices(best_choice, word_res);
word_res->reject_map.initialise(word.length());
}
}

void tesseract::Tesseract::fix_sp_fp_word | ( | WERD_RES_IT & | word_res_it,
|  | ROW * | row,
|  | BLOCK * | block
| ) |  |

Definition at line 618 of file fixspace.cpp.

{
WERD_RES *word_res;
WERD_RES_LIST sub_word_list;
WERD_RES_IT sub_word_list_it(&sub_word_list);
inT16 blob_index;
inT16 new_length;
float junk;
word_res = word_res_it.data();
if (word_res->word->flag(W_REP_CHAR) ||
word_res->combination ||
word_res->part_of_combo ||
!word_res->word->flag(W_DONT_CHOP))
return;
blob_index = worst_noise_blob(word_res, &junk);
if (blob_index < 0)
return;
if (debug_fix_space_level > 1) {
tprintf("FP fixspace working on \"%s\"\n",
word_res->best_choice->unichar_string().string());
}
word_res->word->rej_cblob_list()->sort(c_blob_comparator);
sub_word_list_it.add_after_stay_put(word_res_it.extract());
fix_noisy_space_list(sub_word_list, row, block);
new_length = sub_word_list.length();
word_res_it.add_list_before(&sub_word_list);
for (; !word_res_it.at_last() && new_length > 1; new_length--) {
word_res_it.forward();
}
}

BOOL8 tesseract::Tesseract::fixspace_thinks_word_done | ( | WERD_RES * | word | ) |

Definition at line 586 of file fixspace.cpp.

{
if (word->done)
return TRUE;
/*
Use all the standard pass 2 conditions for mode 5 in set_done() in
reject.c BUT DONT REJECT IF THE WERD IS AMBIGUOUS - FOR SPACING WE DONT
CARE WHETHER WE HAVE of/at on/an etc.
*/
if (fixsp_done_mode > 0 &&
(word->tess_accepted ||
(fixsp_done_mode == 2 && word->reject_map.reject_count() == 0) ||
fixsp_done_mode == 3) &&
(strchr(word->best_choice->unichar_string().string(), ' ') == NULL) &&
((word->best_choice->permuter() == SYSTEM_DAWG_PERM) ||
(word->best_choice->permuter() == FREQ_DAWG_PERM) ||
(word->best_choice->permuter() == USER_DAWG_PERM) ||
(word->best_choice->permuter() == NUMBER_PERM))) {
return TRUE;
} else {
return FALSE;
}
}

void tesseract::Tesseract::flip_0O | ( | WERD_RES * | word | ) |

Definition at line 856 of file reject.cpp.

{
WERD_CHOICE *best_choice = word_res->best_choice;
int i;
TBOX out_box;
if (!tessedit_flip_0O)
return;
TBLOB* blob = word_res->rebuild_word->blobs;
for (i = 0; i < best_choice->length() && blob != NULL; ++i,
blob = blob->next) {
if (word_res->uch_set->get_isupper(best_choice->unichar_id(i)) ||
word_res->uch_set->get_isdigit(best_choice->unichar_id(i))) {
out_box = blob->bounding_box();
if ((out_box.top() < kBlnBaselineOffset + kBlnXHeight) ||
(out_box.bottom() > kBlnBaselineOffset + kBlnXHeight / 4))
return; //Beware words with sub/superscripts
}
}
UNICHAR_ID unichar_0 = word_res->uch_set->unichar_to_id("0");
UNICHAR_ID unichar_O = word_res->uch_set->unichar_to_id("O");
if (unichar_0 == INVALID_UNICHAR_ID ||
!word_res->uch_set->get_enabled(unichar_0) ||
unichar_O == INVALID_UNICHAR_ID ||
!word_res->uch_set->get_enabled(unichar_O)) {
return; // 0 or O are not present/enabled in unicharset
}
bool modified = false;
for (i = 1; i < best_choice->length(); ++i) {
if (best_choice->unichar_id(i) == unichar_0 ||
best_choice->unichar_id(i) == unichar_O) {
/* A0A */
if ((i+1) < best_choice->length() &&
non_O_upper(*word_res->uch_set, best_choice->unichar_id(i-1)) &&
non_O_upper(*word_res->uch_set, best_choice->unichar_id(i+1))) {
best_choice->set_unichar_id(unichar_O, i);
modified = true;
}
/* A00A */
if (non_O_upper(*word_res->uch_set, best_choice->unichar_id(i-1)) &&
(i+1) < best_choice->length() &&
(best_choice->unichar_id(i+1) == unichar_0 ||
best_choice->unichar_id(i+1) == unichar_O) &&
(i+2) < best_choice->length() &&
non_O_upper(*word_res->uch_set, best_choice->unichar_id(i+2))) {
best_choice->set_unichar_id(unichar_O, i);
modified = true;
i++;
}
/* AA0<non digit or end of word> */
if ((i > 1) &&
non_O_upper(*word_res->uch_set, best_choice->unichar_id(i-2)) &&
non_O_upper(*word_res->uch_set, best_choice->unichar_id(i-1)) &&
(((i+1) < best_choice->length() &&
!word_res->uch_set->get_isdigit(best_choice->unichar_id(i+1)) &&
!word_res->uch_set->eq(best_choice->unichar_id(i+1), "l") &&
!word_res->uch_set->eq(best_choice->unichar_id(i+1), "I")) ||
(i == best_choice->length() - 1))) {
best_choice->set_unichar_id(unichar_O, i);
modified = true;
}
/* 9O9 */
if (non_0_digit(*word_res->uch_set, best_choice->unichar_id(i-1)) &&
(i+1) < best_choice->length() &&
non_0_digit(*word_res->uch_set, best_choice->unichar_id(i+1))) {
best_choice->set_unichar_id(unichar_0, i);
modified = true;
}
/* 9OOO */
if (non_0_digit(*word_res->uch_set, best_choice->unichar_id(i-1)) &&
(i+2) < best_choice->length() &&
(best_choice->unichar_id(i+1) == unichar_0 ||
best_choice->unichar_id(i+1) == unichar_O) &&
(best_choice->unichar_id(i+2) == unichar_0 ||
best_choice->unichar_id(i+2) == unichar_O)) {
best_choice->set_unichar_id(unichar_0, i);
best_choice->set_unichar_id(unichar_0, i+1);
best_choice->set_unichar_id(unichar_0, i+2);
modified = true;
i += 2;
}
/* 9OO<non upper> */
if (non_0_digit(*word_res->uch_set, best_choice->unichar_id(i-1)) &&
(i+2) < best_choice->length() &&
(best_choice->unichar_id(i+1) == unichar_0 ||
best_choice->unichar_id(i+1) == unichar_O) &&
!word_res->uch_set->get_isupper(best_choice->unichar_id(i+2))) {
best_choice->set_unichar_id(unichar_0, i);
best_choice->set_unichar_id(unichar_0, i+1);
modified = true;
i++;
}
/* 9O<non upper> */
if (non_0_digit(*word_res->uch_set, best_choice->unichar_id(i-1)) &&
(i+1) < best_choice->length() &&
!word_res->uch_set->get_isupper(best_choice->unichar_id(i+1))) {
best_choice->set_unichar_id(unichar_0, i);
}
/* 9[.,]OOO.. */
if ((i > 1) &&
(word_res->uch_set->eq(best_choice->unichar_id(i-1), ".") ||
word_res->uch_set->eq(best_choice->unichar_id(i-1), ",")) &&
(word_res->uch_set->get_isdigit(best_choice->unichar_id(i-2)) ||
best_choice->unichar_id(i-2) == unichar_O)) {
if (best_choice->unichar_id(i-2) == unichar_O) {
best_choice->set_unichar_id(unichar_0, i-2);
modified = true;
}
while (i < best_choice->length() &&
(best_choice->unichar_id(i) == unichar_O ||
best_choice->unichar_id(i) == unichar_0)) {
best_choice->set_unichar_id(unichar_0, i);
modified = true;
i++;
}
i--;
}
}
}
}

void tesseract::Tesseract::flip_hyphens | ( | WERD_RES * | word | ) |

Definition at line 796 of file reject.cpp.

{
WERD_CHOICE *best_choice = word_res->best_choice;
int i;
int prev_right = -9999;
int next_left;
TBOX out_box;
float aspect_ratio;
if (tessedit_lower_flip_hyphen <= 1)
return;
TBLOB* blob = word_res->rebuild_word->blobs;
UNICHAR_ID unichar_dash = word_res->uch_set->unichar_to_id("-");
bool modified = false;
for (i = 0; i < best_choice->length() && blob != NULL; ++i,
blob = blob->next) {
out_box = blob->bounding_box();
if (blob->next == NULL)
next_left = 9999;
else
next_left = blob->next->bounding_box().left();
// Dont touch small or touching blobs - it is too dangerous.
if ((out_box.width() > 8 * word_res->denorm.x_scale()) &&
(out_box.left() > prev_right) && (out_box.right() < next_left)) {
aspect_ratio = out_box.width() / (float) out_box.height();
if (word_res->uch_set->eq(best_choice->unichar_id(i), ".")) {
if (aspect_ratio >= tessedit_upper_flip_hyphen &&
word_res->uch_set->contains_unichar_id(unichar_dash) &&
word_res->uch_set->get_enabled(unichar_dash)) {
/* Certain HYPHEN */
best_choice->set_unichar_id(unichar_dash, i);
modified = true;
if (word_res->reject_map[i].rejected())
word_res->reject_map[i].setrej_hyphen_accept();
}
if ((aspect_ratio > tessedit_lower_flip_hyphen) &&
word_res->reject_map[i].accepted())
//Suspected HYPHEN
word_res->reject_map[i].setrej_hyphen ();
}
else if (best_choice->unichar_id(i) == unichar_dash) {
if ((aspect_ratio >= tessedit_upper_flip_hyphen) &&
(word_res->reject_map[i].rejected()))
word_res->reject_map[i].setrej_hyphen_accept();
//Certain HYPHEN
if ((aspect_ratio <= tessedit_lower_flip_hyphen) &&
(word_res->reject_map[i].accepted()))
//Suspected HYPHEN
word_res->reject_map[i].setrej_hyphen();
}
}
prev_right = out_box.right();
}
}

void tesseract::Tesseract::font_recognition_pass | ( | PAGE_RES * | page_res | ) |

font_recognition_pass

Smooth the fonts for the document.

Definition at line 1590 of file control.cpp.

{
PAGE_RES_IT page_res_it(page_res);
WERD_RES *word; // current word
STATS doc_fonts(0, font_table_size_); // font counters
// Gather font id statistics.
for (page_res_it.restart_page(); page_res_it.word() != NULL;
page_res_it.forward()) {
word = page_res_it.word();
if (word->fontinfo != NULL) {
doc_fonts.add(word->fontinfo->universal_id, word->fontinfo_id_count);
}
if (word->fontinfo2 != NULL) {
doc_fonts.add(word->fontinfo2->universal_id, word->fontinfo_id2_count);
}
}
inT16 doc_font; // modal font
inT8 doc_font_count; // modal font
find_modal_font(&doc_fonts, &doc_font, &doc_font_count);
if (doc_font_count == 0)
return;
// Get the modal font pointer.
const FontInfo* modal_font = NULL;
for (page_res_it.restart_page(); page_res_it.word() != NULL;
page_res_it.forward()) {
word = page_res_it.word();
if (word->fontinfo != NULL && word->fontinfo->universal_id == doc_font) {
modal_font = word->fontinfo;
break;
}
if (word->fontinfo2 != NULL && word->fontinfo2->universal_id == doc_font) {
modal_font = word->fontinfo2;
break;
}
}
ASSERT_HOST(modal_font != NULL);
// Assign modal font to weak words.
for (page_res_it.restart_page(); page_res_it.word() != NULL;
page_res_it.forward()) {
word = page_res_it.word();
int length = word->best_choice->length();
// 1st choices got 2 pts, so we need to halve the score for the mode.
int count = (word->fontinfo_id_count + 1) / 2;
if (!(count == length || (length > 3 && count >= length * 3 / 4))) {
word->fontinfo = modal_font;
// Counts only get 1 as it came from the doc.
word->fontinfo_id_count = 1;
word->italic = modal_font->is_italic() ? 1 : -1;
word->bold = modal_font->is_bold() ? 1 : -1;
}
}
}

inT16 tesseract::Tesseract::fp_eval_word_spacing | ( | WERD_RES_LIST & | word_res_list | ) |

Definition at line 914 of file fixspace.cpp.

{
WERD_RES_IT word_it(&word_res_list);
WERD_RES *word;
inT16 word_length;
inT16 score = 0;
inT16 i;
float small_limit = kBlnXHeight * fixsp_small_outlines_size;
for (word_it.mark_cycle_pt(); !word_it.cycled_list(); word_it.forward()) {
word = word_it.data();
if (word->rebuild_word == NULL)
continue; // Can't handle cube words.
word_length = word->reject_map.length();
if (word->done ||
word->tess_accepted ||
word->best_choice->permuter() == SYSTEM_DAWG_PERM ||
word->best_choice->permuter() == FREQ_DAWG_PERM ||
word->best_choice->permuter() == USER_DAWG_PERM ||
safe_dict_word(word) > 0) {
TBLOB* blob = word->rebuild_word->blobs;
UNICHAR_ID space = word->uch_set->unichar_to_id(" ");
for (i = 0; i < word->best_choice->length() && blob != NULL;
++i, blob = blob->next) {
if (word->best_choice->unichar_id(i) == space ||
blob_noise_score(blob) < small_limit) {
score -= 1; // penalise possibly erroneous non-space
} else if (word->reject_map[i].accepted()) {
score++;
}
}
}
}
if (score < 0)
score = 0;
return score;
}

GARBAGE_LEVEL tesseract::Tesseract::garbage_word | ( | WERD_RES * | word,
|  | BOOL8 | ok_dict_word
| ) |  |

Definition at line 689 of file docqual.cpp.

{
enum STATES
{
JUNK,
FIRST_UPPER,
FIRST_LOWER,
FIRST_NUM,
SUBSEQUENT_UPPER,
SUBSEQUENT_LOWER,
SUBSEQUENT_NUM
};
const char *str = word->best_choice->unichar_string().string();
const char *lengths = word->best_choice->unichar_lengths().string();
STATES state = JUNK;
int len = 0;
int isolated_digits = 0;
int isolated_alphas = 0;
int bad_char_count = 0;
int tess_rejs = 0;
int dodgy_chars = 0;
int ok_chars;
UNICHAR_ID last_char = -1;
int alpha_repetition_count = 0;
int longest_alpha_repetition_count = 0;
int longest_lower_run_len = 0;
int lower_string_count = 0;
int longest_upper_run_len = 0;
int upper_string_count = 0;
int total_alpha_count = 0;
int total_digit_count = 0;
for (; *str != '\0'; str += *(lengths++)) {
len++;
if (word->uch_set->get_isupper (str, *lengths)) {
total_alpha_count++;
switch (state) {
case SUBSEQUENT_UPPER:
case FIRST_UPPER:
state = SUBSEQUENT_UPPER;
upper_string_count++;
if (longest_upper_run_len < upper_string_count)
longest_upper_run_len = upper_string_count;
if (last_char == word->uch_set->unichar_to_id(str, *lengths)) {
alpha_repetition_count++;
if (longest_alpha_repetition_count < alpha_repetition_count) {
longest_alpha_repetition_count = alpha_repetition_count;
}
}
else {
last_char = word->uch_set->unichar_to_id(str, *lengths);
alpha_repetition_count = 1;
}
break;
case FIRST_NUM:
isolated_digits++;
default:
state = FIRST_UPPER;
last_char = word->uch_set->unichar_to_id(str, *lengths);
alpha_repetition_count = 1;
upper_string_count = 1;
break;
}
}
else if (word->uch_set->get_islower (str, *lengths)) {
total_alpha_count++;
switch (state) {
case SUBSEQUENT_LOWER:
case FIRST_LOWER:
state = SUBSEQUENT_LOWER;
lower_string_count++;
if (longest_lower_run_len < lower_string_count)
longest_lower_run_len = lower_string_count;
if (last_char == word->uch_set->unichar_to_id(str, *lengths)) {
alpha_repetition_count++;
if (longest_alpha_repetition_count < alpha_repetition_count) {
longest_alpha_repetition_count = alpha_repetition_count;
}
}
else {
last_char = word->uch_set->unichar_to_id(str, *lengths);
alpha_repetition_count = 1;
}
break;
case FIRST_NUM:
isolated_digits++;
default:
state = FIRST_LOWER;
last_char = word->uch_set->unichar_to_id(str, *lengths);
alpha_repetition_count = 1;
lower_string_count = 1;
break;
}
}
else if (word->uch_set->get_isdigit (str, *lengths)) {
total_digit_count++;
switch (state) {
case FIRST_NUM:
state = SUBSEQUENT_NUM;
case SUBSEQUENT_NUM:
break;
case FIRST_UPPER:
case FIRST_LOWER:
isolated_alphas++;
default:
state = FIRST_NUM;
break;
}
}
else {
if (*lengths == 1 && *str == ' ')
tess_rejs++;
else
bad_char_count++;
switch (state) {
case FIRST_NUM:
isolated_digits++;
break;
case FIRST_UPPER:
case FIRST_LOWER:
isolated_alphas++;
default:
break;
}
state = JUNK;
}
}
switch (state) {
case FIRST_NUM:
isolated_digits++;
break;
case FIRST_UPPER:
case FIRST_LOWER:
isolated_alphas++;
default:
break;
}
if (crunch_include_numerals) {
total_alpha_count += total_digit_count - isolated_digits;
}
if (crunch_leave_ok_strings && len >= 4 &&
2 * (total_alpha_count - isolated_alphas) > len &&
longest_alpha_repetition_count < crunch_long_repetitions) {
if ((crunch_accept_ok &&
acceptable_word_string(*word->uch_set, str, lengths) !=
AC_UNACCEPTABLE) ||
longest_lower_run_len > crunch_leave_lc_strings ||
longest_upper_run_len > crunch_leave_uc_strings)
return G_NEVER_CRUNCH;
}
if (word->reject_map.length() > 1 &&
strpbrk(str, " ") == NULL &&
(word->best_choice->permuter() == SYSTEM_DAWG_PERM ||
word->best_choice->permuter() == FREQ_DAWG_PERM ||
word->best_choice->permuter() == USER_DAWG_PERM ||
word->best_choice->permuter() == NUMBER_PERM ||
acceptable_word_string(*word->uch_set, str, lengths) !=
AC_UNACCEPTABLE || ok_dict_word))
return G_OK;
ok_chars = len - bad_char_count - isolated_digits -
isolated_alphas - tess_rejs;
if (crunch_debug > 3) {
tprintf("garbage_word: \"%s\"\n",
word->best_choice->unichar_string().string());
tprintf("LEN: %d bad: %d iso_N: %d iso_A: %d rej: %d\n",
len,
bad_char_count, isolated_digits, isolated_alphas, tess_rejs);
}
if (bad_char_count == 0 &&
tess_rejs == 0 &&
(len > isolated_digits + isolated_alphas || len <= 2))
return G_OK;
if (tess_rejs > ok_chars ||
(tess_rejs > 0 && (bad_char_count + tess_rejs) * 2 > len))
return G_TERRIBLE;
if (len > 4) {
dodgy_chars = 2 * tess_rejs + bad_char_count + isolated_digits +
isolated_alphas;
if (dodgy_chars > 5 || (dodgy_chars / (float) len) > 0.5)
return G_DODGY;
else
return G_OK;
} else {
dodgy_chars = 2 * tess_rejs + bad_char_count;
if ((len == 4 && dodgy_chars > 2) ||
(len == 3 && dodgy_chars > 2) || dodgy_chars >= len)
return G_DODGY;
else
return G_OK;
}
}

UNICHAR_ID tesseract::Tesseract::get_rep_char | ( | WERD_RES * | word | ) |

Definition at line 349 of file output.cpp.

{ // what char is repeated?
int i;
for (i = 0; ((i < word->reject_map.length()) &&
(word->reject_map[i].rejected())); ++i);
if (i < word->reject_map.length()) {
return word->best_choice->unichar_id(i);
} else {
return word->uch_set->unichar_to_id(unrecognised_char.string());
}
}

Tesseract* tesseract::Tesseract::get_sub_lang | ( | int | index | ) | const

inline

Definition at line 219 of file tesseractclass.h.

{
return sub_langs_[index];
}

CubeRecoContext* tesseract::Tesseract::GetCubeRecoContext | ( |  | ) |

inline

Definition at line 914 of file tesseractclass.h.

{ return cube_cntxt_; }

int tesseract::Tesseract::ImageHeight | ( |  | ) | const

inline

Definition at line 193 of file tesseractclass.h.

{
return pixGetHeight(pix_binary_);
}

int tesseract::Tesseract::ImageWidth | ( |  | ) | const

inline

Definition at line 190 of file tesseractclass.h.

{
return pixGetWidth(pix_binary_);
}

bool tesseract::Tesseract::init_cube_objects | ( | bool | load_combiner,
|  | TessdataManager * | tessdata_manager
| ) |  |

Definition at line 202 of file cube_control.cpp.

{
ASSERT_HOST(cube_cntxt_ == NULL);
ASSERT_HOST(tess_cube_combiner_ == NULL);
// Create the cube context object
cube_cntxt_ = CubeRecoContext::Create(this, tessdata_manager, &unicharset);
if (cube_cntxt_ == NULL) {
if (cube_debug_level > 0) {
tprintf("Cube WARNING (Tesseract::init_cube_objects()): Failed to "
"instantiate CubeRecoContext\n");
}
return false;
}
// Create the combiner object and load the combiner net for target languages.
if (load_combiner) {
tess_cube_combiner_ = new tesseract::TesseractCubeCombiner(cube_cntxt_);
if (!tess_cube_combiner_ || !tess_cube_combiner_->LoadCombinerNet()) {
delete cube_cntxt_;
cube_cntxt_ = NULL;
if (tess_cube_combiner_ != NULL) {
delete tess_cube_combiner_;
tess_cube_combiner_ = NULL;
}
if (cube_debug_level > 0)
tprintf("Cube ERROR (Failed to instantiate TesseractCubeCombiner\n");
return false;
}
}
return true;
}

FILE * tesseract::Tesseract::init_recog_training | ( | const STRING & | fname | ) |

Definition at line 37 of file recogtraining.cpp.

{
if (tessedit_ambigs_training) {
tessedit_tess_adaption_mode.set_value(0); // turn off adaption
tessedit_enable_doc_dict.set_value(0); // turn off document dictionary
save_blob_choices.set_value(1); // save individual char choices
getDict().save_raw_choices.set_value(1); // save raw choices
getDict().permute_only_top.set_value(true); // use only top choice permuter
tessedit_ok_mode.set_value(0); // turn off context checking
// Explore all segmentations.
getDict().stopper_no_acceptable_choices.set_value(1);
}
STRING output_fname = fname;
const char *lastdot = strrchr(output_fname.string(), '.');
if (lastdot != NULL) output_fname[lastdot - output_fname.string()] = '\0';
output_fname += ".txt";
FILE *output_file = open_file(output_fname.string(), "a+");
return output_file;
}

int tesseract::Tesseract::init_tesseract | ( | const char * | arg0,
|  | const char * | textbase,
|  | const char * | language,
|  | OcrEngineMode | oem,
|  | char ** | configs,
|  | int | configs_size,
|  | const GenericVector< STRING > * | vars_vec,
|  | const GenericVector< STRING > * | vars_values,
|  | bool | set_only_init_params
| ) |  |

Definition at line 270 of file tessedit.cpp.

{
GenericVector<STRING> langs_to_load;
GenericVector<STRING> langs_not_to_load;
ParseLanguageString(language, &langs_to_load, &langs_not_to_load);
sub_langs_.delete_data_pointers();
sub_langs_.clear();
// Find the first loadable lang and load into this.
// Add any languages that this language requires
bool loaded_primary = false;
// Load the rest into sub_langs_.
for (int lang_index = 0; lang_index < langs_to_load.size(); ++lang_index) {
if (!IsStrInList(langs_to_load[lang_index], langs_not_to_load)) {
const char *lang_str = langs_to_load[lang_index].string();
Tesseract *tess_to_init;
if (!loaded_primary) {
tess_to_init = this;
} else {
tess_to_init = new Tesseract;
}
int result = tess_to_init->init_tesseract_internal(
arg0, textbase, lang_str, oem, configs, configs_size,
vars_vec, vars_values, set_only_non_debug_params);
if (!loaded_primary) {
if (result < 0) {
tprintf("Failed loading language '%s'\n", lang_str);
} else {
if (tessdata_manager_debug_level)
tprintf("Loaded language '%s' as main language\n", lang_str);
ParseLanguageString(tess_to_init->tessedit_load_sublangs.string(),
&langs_to_load, &langs_not_to_load);
loaded_primary = true;
}
} else {
if (result < 0) {
tprintf("Failed loading language '%s'\n", lang_str);
delete tess_to_init;
} else {
if (tessdata_manager_debug_level)
tprintf("Loaded language '%s' as secondary language\n", lang_str);
sub_langs_.push_back(tess_to_init);
// Add any languages that this language requires
ParseLanguageString(tess_to_init->tessedit_load_sublangs.string(),
&langs_to_load, &langs_not_to_load);
}
}
}
}
if (!loaded_primary) {
tprintf("Tesseract couldn't load any languages!\n");
return -1; // Couldn't load any language!
}
SetupUniversalFontIds();
return 0;
}

int tesseract::Tesseract::init_tesseract | ( | const char * | datapath,
|  | const char * | language,
|  | OcrEngineMode | oem
| ) |  |

inline

Definition at line 352 of file tesseractclass.h.

{
return init_tesseract(datapath, NULL, language, oem,
NULL, 0, NULL, NULL, false);
}

int tesseract::Tesseract::init_tesseract_internal | ( | const char * | arg0,
|  | const char * | textbase,
|  | const char * | language,
|  | OcrEngineMode | oem,
|  | char ** | configs,
|  | int | configs_size,
|  | const GenericVector< STRING > * | vars_vec,
|  | const GenericVector< STRING > * | vars_values,
|  | bool | set_only_init_params
| ) |  |

Definition at line 349 of file tessedit.cpp.

{
if (!init_tesseract_lang_data(arg0, textbase, language, oem, configs,
configs_size, vars_vec, vars_values,
set_only_non_debug_params)) {
return -1;
}
if (tessedit_init_config_only) {
tessdata_manager.End();
return 0;
}
// If only Cube will be used, skip loading Tesseract classifier's
// pre-trained templates.
bool init_tesseract_classifier =
(tessedit_ocr_engine_mode == OEM_TESSERACT_ONLY ||
tessedit_ocr_engine_mode == OEM_TESSERACT_CUBE_COMBINED);
// If only Cube will be used and if it has its own Unicharset,
// skip initializing permuter and loading Tesseract Dawgs.
bool init_dict =
!(tessedit_ocr_engine_mode == OEM_CUBE_ONLY &&
tessdata_manager.SeekToStart(TESSDATA_CUBE_UNICHARSET));
program_editup(textbase, init_tesseract_classifier, init_dict);
tessdata_manager.End();
return 0; //Normal exit
}

bool tesseract::Tesseract::init_tesseract_lang_data | ( | const char * | arg0,
|  | const char * | textbase,
|  | const char * | language,
|  | OcrEngineMode | oem,
|  | char ** | configs,
|  | int | configs_size,
|  | const GenericVector< STRING > * | vars_vec,
|  | const GenericVector< STRING > * | vars_values,
|  | bool | set_only_init_params
| ) |  |

Definition at line 98 of file tessedit.cpp.

{
// Set the basename, compute the data directory.
main_setup(arg0, textbase);
// Set the language data path prefix
lang = language != NULL ? language : "eng";
language_data_path_prefix = datadir;
language_data_path_prefix += lang;
language_data_path_prefix += ".";
// Initialize TessdataManager.
STRING tessdata_path = language_data_path_prefix + kTrainedDataSuffix;
if (!tessdata_manager.Init(tessdata_path.string(),
tessdata_manager_debug_level)) {
return false;
}
// If a language specific config file (lang.config) exists, load it in.
if (tessdata_manager.SeekToStart(TESSDATA_LANG_CONFIG)) {
ParamUtils::ReadParamsFromFp(
tessdata_manager.GetDataFilePtr(),
tessdata_manager.GetEndOffset(TESSDATA_LANG_CONFIG),
SET_PARAM_CONSTRAINT_NONE, this->params());
if (tessdata_manager_debug_level) {
tprintf("Loaded language config file\n");
}
}
SetParamConstraint set_params_constraint = set_only_non_debug_params ?
SET_PARAM_CONSTRAINT_NON_DEBUG_ONLY : SET_PARAM_CONSTRAINT_NONE;
// Load tesseract variables from config files. This is done after loading
// language-specific variables from [lang].traineddata file, so that custom
// config files can override values in [lang].traineddata file.
for (int i = 0; i < configs_size; ++i) {
read_config_file(configs[i], set_params_constraint);
}
// Set params specified in vars_vec (done after setting params from config
// files, so that params in vars_vec can override those from files).
if (vars_vec != NULL && vars_values != NULL) {
for (int i = 0; i < vars_vec->size(); ++i) {
if (!ParamUtils::SetParam((*vars_vec)[i].string(),
(*vars_values)[i].string(),
set_params_constraint, this->params())) {
tprintf("Error setting param %s\n", (*vars_vec)[i].string());
exit(1);
}
}
}
if (((STRING &)tessedit_write_params_to_file).length() > 0) {
FILE *params_file = fopen(tessedit_write_params_to_file.string(), "wb");
if (params_file != NULL) {
ParamUtils::PrintParams(params_file, this->params());
fclose(params_file);
if (tessdata_manager_debug_level > 0) {
tprintf("Wrote parameters to %s\n",
tessedit_write_params_to_file.string());
}
} else {
tprintf("Failed to open %s for writing params.\n",
tessedit_write_params_to_file.string());
}
}
// Determine which ocr engine(s) should be loaded and used for recognition.
if (oem != OEM_DEFAULT) tessedit_ocr_engine_mode.set_value(oem);
if (tessdata_manager_debug_level) {
tprintf("Loading Tesseract/Cube with tessedit_ocr_engine_mode %d\n",
static_cast<int>(tessedit_ocr_engine_mode));
}
// If we are only loading the config file (and so not planning on doing any
// recognition) then there's nothing else do here.
if (tessedit_init_config_only) {
if (tessdata_manager_debug_level) {
tprintf("Returning after loading config file\n");
}
return true;
}
// Load the unicharset
if (!tessdata_manager.SeekToStart(TESSDATA_UNICHARSET) ||
!unicharset.load_from_file(tessdata_manager.GetDataFilePtr())) {
return false;
}
if (unicharset.size() > MAX_NUM_CLASSES) {
tprintf("Error: Size of unicharset is greater than MAX_NUM_CLASSES\n");
return false;
}
if (tessdata_manager_debug_level) tprintf("Loaded unicharset\n");
right_to_left_ = unicharset.major_right_to_left();
if (!tessedit_ambigs_training &&
tessdata_manager.SeekToStart(TESSDATA_AMBIGS)) {
unichar_ambigs.LoadUnicharAmbigs(
tessdata_manager.GetDataFilePtr(),
tessdata_manager.GetEndOffset(TESSDATA_AMBIGS),
ambigs_debug_level, use_ambigs_for_adaption, &unicharset);
if (tessdata_manager_debug_level) tprintf("Loaded ambigs\n");
}
// Load Cube objects if necessary.
if (tessedit_ocr_engine_mode == OEM_CUBE_ONLY) {
ASSERT_HOST(init_cube_objects(false, &tessdata_manager));
if (tessdata_manager_debug_level)
tprintf("Loaded Cube w/out combiner\n");
} else if (tessedit_ocr_engine_mode == OEM_TESSERACT_CUBE_COMBINED) {
ASSERT_HOST(init_cube_objects(true, &tessdata_manager));
if (tessdata_manager_debug_level)
tprintf("Loaded Cube with combiner\n");
}
return true;
}

int tesseract::Tesseract::init_tesseract_lm | ( | const char * | arg0,
|  | const char * | textbase,
|  | const char * | language
| ) |  |

Definition at line 420 of file tessedit.cpp.

{
if (!init_tesseract_lang_data(arg0, textbase, language, OEM_TESSERACT_ONLY,
NULL, 0, NULL, NULL, false))
return -1;
getDict().Load();
tessdata_manager.End();
return 0;
}

void tesseract::Tesseract::make_reject_map | ( | WERD_RES * | word,
|  | BLOB_CHOICE_LIST_CLIST * | blob_choices,
|  | ROW * | row,
|  | inT16 | pass
| ) |  |

void tesseract::Tesseract::match_current_words | ( | WERD_RES_LIST & | words,
|  | ROW * | row,
|  | BLOCK * | block
| ) |  |

Definition at line 197 of file fixspace.cpp.

{
WERD_RES_IT word_it(&words);
WERD_RES *word;
// Since we are not using PAGE_RES to iterate over words, we need to update
// prev_word_best_choice_ before calling classify_word_pass2().
prev_word_best_choice_ = NULL;
for (word_it.mark_cycle_pt(); !word_it.cycled_list(); word_it.forward()) {
word = word_it.data();
if ((!word->part_of_combo) && (word->box_word == NULL)) {
classify_word_and_language(&Tesseract::classify_word_pass2,
block, row, word);
}
prev_word_best_choice_ = word->best_choice;
}
}

void tesseract::Tesseract::match_word_pass2 | ( | WERD_RES * | word,
|  | ROW * | row,
|  | BLOCK * | block
| ) |  |

match_word_pass2

Baseline normalize the word and pass it to Tess.

Definition at line 1098 of file control.cpp.

{
BLOB_CHOICE_LIST_CLIST *blob_choices = new BLOB_CHOICE_LIST_CLIST();
if (word->SetupForTessRecognition(unicharset, this, BestPix(),
classify_bln_numeric_mode,
this->textord_use_cjk_fp_model,
row, block))
tess_segment_pass2(word, blob_choices);
if (!word->tess_failed) {
if (!word->word->flag (W_REP_CHAR)) {
word->fix_quotes(blob_choices);
if (tessedit_fix_hyphens)
word->fix_hyphens(blob_choices);
/* Dont trust fix_quotes! - though I think I've fixed the bug */
if (word->best_choice->length() != word->box_word->length() ||
word->best_choice->length() != blob_choices->length()) {
tprintf("POST FIX_QUOTES FAIL String:\"%s\"; Strlen=%d;"
" #Blobs=%d; #Choices=%d\n",
word->best_choice->debug_string().string(),
word->best_choice->length(),
word->box_word->length(), blob_choices->length());
}
word->tess_accepted = tess_acceptable_word(word->best_choice,
word->raw_choice);
make_reject_map (word, blob_choices, row, 2);
}
}
// Save best choices in the WERD_CHOICE if needed
word->best_choice->set_blob_choices(blob_choices);
set_word_fonts(word, blob_choices);
assert (word->raw_choice != NULL);
}

void tesseract::Tesseract::MaximallyChopWord | ( | const GenericVector< TBOX > & | boxes,
|  | BLOCK * | block,
|  | ROW * | row,
|  | WERD_RES * | word_res
| ) |  |

Definition at line 257 of file applybox.cpp.

{
if (!word_res->SetupForTessRecognition(unicharset, this, BestPix(), false,
this->textord_use_cjk_fp_model,
row, block)) {
word_res->CloneChoppedToRebuild();
return;
}
if (chop_debug) {
tprintf("Maximally chopping word at:");
word_res->word->bounding_box().print();
}
blob_match_table.init_match_table();
BLOB_CHOICE_LIST *match_result;
BLOB_CHOICE_LIST_VECTOR *char_choices = new BLOB_CHOICE_LIST_VECTOR();
ASSERT_HOST(word_res->chopped_word->blobs != NULL);
float rating = static_cast<float>(MAX_INT8);
for (TBLOB* blob = word_res->chopped_word->blobs; blob != NULL;
blob = blob->next) {
// The rating and certainty are not quite arbitrary. Since
// select_blob_to_chop uses the worst certainty to choose, they all have
// to be different, so starting with MAX_INT8, subtract 1/8 for each blob
// in here, and then divide by e each time they are chopped, which
// should guarantee a set of unequal values for the whole tree of blobs
// produced, however much chopping is required. The chops are thus only
// limited by the ability of the chopper to find suitable chop points,
// and not by the value of the certainties.
match_result = fake_classify_blob(0, rating, -rating);
modify_blob_choice(match_result, 0);
ASSERT_HOST(!match_result->empty());
*char_choices += match_result;
rating -= 0.125f;
}
inT32 blob_number;
int right_chop_index = 0;
if (!assume_fixed_pitch_char_segment) {
// We only chop if the language is not fixed pitch like CJK.
if (prioritize_division) {
while (chop_one_blob2(boxes, word_res, &word_res->seam_array));
} else {
while (chop_one_blob(word_res->chopped_word, char_choices,
&blob_number, &word_res->seam_array,
&right_chop_index));
}
}
MakeWordChoice(*char_choices, unicharset, word_res->best_choice);
MakeWordChoice(*char_choices, unicharset, word_res->raw_choice);
word_res->CloneChoppedToRebuild();
blob_match_table.end_match_table();
if (char_choices != NULL) {
char_choices->delete_data_pointers();
delete char_choices;
}
}

Pix** tesseract::Tesseract::mutable_pix_binary | ( |  | ) |

inline

Definition at line 160 of file tesseractclass.h.

{
Clear();
return &pix_binary_;
}

Textord* tesseract::Tesseract::mutable_textord | ( |  | ) |

inline

Definition at line 209 of file tesseractclass.h.

{
return &textord_;
}

void tesseract::Tesseract::nn_match_word | ( | WERD_RES * | word,
|  | ROW * | row
| ) |  |

void tesseract::Tesseract::nn_recover_rejects | ( | WERD_RES * | word,
|  | ROW * | row
| ) |  |

BOOL8 tesseract::Tesseract::noise_outlines | ( | TWERD * | word | ) |

Definition at line 987 of file docqual.cpp.

{
TBOX box; // BB of outline
inT16 outline_count = 0;
inT16 small_outline_count = 0;
inT16 max_dimension;
float small_limit = kBlnXHeight * crunch_small_outlines_size;
for (TBLOB* blob = word->blobs; blob != NULL; blob = blob->next) {
for (TESSLINE* ol = blob->outlines; ol != NULL; ol = ol->next) {
outline_count++;
box = ol->bounding_box();
if (box.height() > box.width())
max_dimension = box.height();
else
max_dimension = box.width();
if (max_dimension < small_limit)
small_outline_count++;
}
}
return (small_outline_count >= outline_count);
}

BOOL8 tesseract::Tesseract::non_0_digit | ( | const UNICHARSET & | ch_set,
|  | UNICHAR_ID | unichar_id
| ) |  |

Definition at line 981 of file reject.cpp.

{
return ch_set.get_isdigit(unichar_id) && !ch_set.eq(unichar_id, "0");
}

BOOL8 tesseract::Tesseract::non_O_upper | ( | const UNICHARSET & | ch_set,
|  | UNICHAR_ID | unichar_id
| ) |  |

Definition at line 977 of file reject.cpp.

{
return ch_set.get_isupper(unichar_id) && !ch_set.eq(unichar_id, "O");
}

int tesseract::Tesseract::num_sub_langs | ( |  | ) | const

inline

Definition at line 216 of file tesseractclass.h.

{
return sub_langs_.size();
}

BOOL8 tesseract::Tesseract::one_ell_conflict | ( | WERD_RES * | word_res,
|  | BOOL8 | update_map
| ) |  |

Definition at line 456 of file reject.cpp.

{
const char *word;
const char *lengths;
inT16 word_len; //its length
inT16 first_alphanum_index_;
inT16 first_alphanum_offset_;
inT16 i;
inT16 offset;
BOOL8 non_conflict_set_char; //non conf set a/n?
BOOL8 conflict = FALSE;
BOOL8 allow_1s;
ACCEPTABLE_WERD_TYPE word_type;
BOOL8 dict_perm_type;
BOOL8 dict_word_ok;
int dict_word_type;
word = word_res->best_choice->unichar_string().string ();
lengths = word_res->best_choice->unichar_lengths().string();
word_len = strlen (lengths);
/*
If there are no occurrences of the conflict set characters then the word
is OK.
*/
if (strpbrk (word, conflict_set_I_l_1.string ()) == NULL)
return FALSE;
/*
There is a conflict if there are NO other (confirmed) alphanumerics apart
from those in the conflict set.
*/
for (i = 0, offset = 0, non_conflict_set_char = FALSE;
(i < word_len) && !non_conflict_set_char; offset += lengths[i++])
non_conflict_set_char =
(word_res->uch_set->get_isalpha(word + offset, lengths[i]) ||
word_res->uch_set->get_isdigit(word + offset, lengths[i])) &&
!STRING (conflict_set_I_l_1).contains (word[offset]);
if (!non_conflict_set_char) {
if (update_map)
reject_I_1_L(word_res);
return TRUE;
}
/*
If the word is accepted by a dawg permuter, and the first alpha character
is "I" or "l", check to see if the alternative is also a dawg word. If it
is, then there is a potential error otherwise the word is ok.
*/
dict_perm_type = (word_res->best_choice->permuter () == SYSTEM_DAWG_PERM) ||
(word_res->best_choice->permuter () == USER_DAWG_PERM) ||
(rej_trust_doc_dawg &&
(word_res->best_choice->permuter () == DOC_DAWG_PERM)) ||
(word_res->best_choice->permuter () == FREQ_DAWG_PERM);
dict_word_type = dict_word(*(word_res->best_choice));
dict_word_ok = (dict_word_type > 0) &&
(rej_trust_doc_dawg || (dict_word_type != DOC_DAWG_PERM));
if ((rej_1Il_use_dict_word && dict_word_ok) ||
(rej_1Il_trust_permuter_type && dict_perm_type) ||
(dict_perm_type && dict_word_ok)) {
first_alphanum_index_ = first_alphanum_index (word, lengths);
first_alphanum_offset_ = first_alphanum_offset (word, lengths);
if (lengths[first_alphanum_index_] == 1 &&
word[first_alphanum_offset_] == 'I') {
word_res->best_choice->unichar_string()[first_alphanum_offset_] = 'l';
if (safe_dict_word(word_res) > 0) {
word_res->best_choice->unichar_string()[first_alphanum_offset_] = 'I';
if (update_map)
word_res->reject_map[first_alphanum_index_].
setrej_1Il_conflict();
return TRUE;
}
else {
word_res->best_choice->unichar_string()[first_alphanum_offset_] = 'I';
return FALSE;
}
}
if (lengths[first_alphanum_index_] == 1 &&
word[first_alphanum_offset_] == 'l') {
word_res->best_choice->unichar_string()[first_alphanum_offset_] = 'I';
if (safe_dict_word(word_res) > 0) {
word_res->best_choice->unichar_string()[first_alphanum_offset_] = 'l';
if (update_map)
word_res->reject_map[first_alphanum_index_].
setrej_1Il_conflict();
return TRUE;
}
else {
word_res->best_choice->unichar_string()[first_alphanum_offset_] = 'l';
return FALSE;
}
}
return FALSE;
}
/*
NEW 1Il code. The old code relied on permuter types too much. In fact,
tess will use TOP_CHOICE permute for good things like "palette".
In this code the string is examined independently to see if it looks like
a well formed word.
*/
/*
REGARDLESS OF PERMUTER, see if flipping a leading I/l generates a
dictionary word.
*/
first_alphanum_index_ = first_alphanum_index (word, lengths);
first_alphanum_offset_ = first_alphanum_offset (word, lengths);
if (lengths[first_alphanum_index_] == 1 &&
word[first_alphanum_offset_] == 'l') {
word_res->best_choice->unichar_string()[first_alphanum_offset_] = 'I';
if (safe_dict_word(word_res) > 0)
return FALSE;
else
word_res->best_choice->unichar_string()[first_alphanum_offset_] = 'l';
}
else if (lengths[first_alphanum_index_] == 1 &&
word[first_alphanum_offset_] == 'I') {
word_res->best_choice->unichar_string()[first_alphanum_offset_] = 'l';
if (safe_dict_word(word_res) > 0)
return FALSE;
else
word_res->best_choice->unichar_string()[first_alphanum_offset_] = 'I';
}
/*
For strings containing digits:
If there are no alphas OR the numeric permuter liked the word,
reject any non 1 conflict chs
Else reject all conflict chs
*/
if (word_contains_non_1_digit (word, lengths)) {
allow_1s = (alpha_count (word, lengths) == 0) ||
(word_res->best_choice->permuter () == NUMBER_PERM);
inT16 offset;
conflict = FALSE;
for (i = 0, offset = 0; word[offset] != '\0';
offset += word_res->best_choice->unichar_lengths()[i++]) {
if ((!allow_1s || (word[offset] != '1')) &&
STRING (conflict_set_I_l_1).contains (word[offset])) {
if (update_map)
word_res->reject_map[i].setrej_1Il_conflict ();
conflict = TRUE;
}
}
return conflict;
}
/*
For anything else. See if it conforms to an acceptable word type. If so,
treat accordingly.
*/
word_type = acceptable_word_string(*word_res->uch_set, word, lengths);
if ((word_type == AC_LOWER_CASE) || (word_type == AC_INITIAL_CAP)) {
first_alphanum_index_ = first_alphanum_index (word, lengths);
first_alphanum_offset_ = first_alphanum_offset (word, lengths);
if (STRING (conflict_set_I_l_1).contains (word[first_alphanum_offset_])) {
if (update_map)
word_res->reject_map[first_alphanum_index_].
setrej_1Il_conflict ();
return TRUE;
}
else
return FALSE;
}
else if (word_type == AC_UPPER_CASE) {
return FALSE;
}
else {
if (update_map)
reject_I_1_L(word_res);
return TRUE;
}
}

void tesseract::Tesseract::output_pass | ( | PAGE_RES_IT & | page_res_it,
|  | const TBOX * | target_word_box
| ) |  |

Definition at line 72 of file output.cpp.

{
BLOCK_RES *block_of_last_word;
inT16 block_id;
BOOL8 force_eol; //During output
BLOCK *nextblock; //block of next word
WERD *nextword; //next word
page_res_it.restart_page ();
block_of_last_word = NULL;
while (page_res_it.word () != NULL) {
check_debug_pt (page_res_it.word (), 120);
if (target_word_box)
{
TBOX current_word_box=page_res_it.word ()->word->bounding_box();
FCOORD center_pt((current_word_box.right()+current_word_box.left())/2,(current_word_box.bottom()+current_word_box.top())/2);
if (!target_word_box->contains(center_pt))
{
page_res_it.forward ();
continue;
}
}
if (tessedit_write_block_separators &&
block_of_last_word != page_res_it.block ()) {
block_of_last_word = page_res_it.block ();
block_id = block_of_last_word->block->index();
}
force_eol = (tessedit_write_block_separators &&
(page_res_it.block () != page_res_it.next_block ())) ||
(page_res_it.next_word () == NULL);
if (page_res_it.next_word () != NULL)
nextword = page_res_it.next_word ()->word;
else
nextword = NULL;
if (page_res_it.next_block () != NULL)
nextblock = page_res_it.next_block ()->block;
else
nextblock = NULL;
//regardless of tilde crunching
write_results(page_res_it,
determine_newline_type(page_res_it.word()->word,
page_res_it.block()->block,
nextword, nextblock), force_eol);
page_res_it.forward();
}
}

void tesseract::Tesseract::ParseLanguageString | ( | const char * | lang_str,
|  | GenericVector< STRING > * | to_load,
|  | GenericVector< STRING > * | not_to_load
| ) |  |

Definition at line 234 of file tessedit.cpp.

{
STRING remains(lang_str);
while (remains.length() > 0) {
// Find the start of the lang code and which vector to add to.
const char* start = remains.string();
while (*start == '+')
++start;
GenericVector<STRING>* target = to_load;
if (*start == '~') {
target = not_to_load;
++start;
}
// Find the index of the end of the lang code in string start.
int end = strlen(start);
const char* plus = strchr(start, '+');
if (plus != NULL && plus - start < end)
end = plus - start;
STRING lang_code(start);
lang_code.truncate_at(end);
STRING next(start + end);
remains = next;
// Check whether lang_code is already in the target vector and add.
if (!IsStrInList(lang_code, *target)) {
if (tessdata_manager_debug_level)
tprintf("Adding language '%s' to list\n", lang_code.string());
target->push_back(lang_code);
}
}
}

void tesseract::Tesseract::pgeditor_main | ( | int | width,
|  | int | height,
|  | PAGE_RES * | page_res
| ) |  |

pgeditor_main()

Top level editor operation: Setup a new window and an according event handler

Definition at line 336 of file pgedit.cpp.

{
current_page_res = page_res;
if (current_page_res->block_res_list.empty())
return;
recog_done = false;
stillRunning = true;
build_image_window(width, height);
word_display_mode.turn_on_bit(DF_EDGE_STEP);
do_re_display(&tesseract::Tesseract::word_set_display);
#ifndef GRAPHICS_DISABLED
pe = new ParamsEditor(this, image_win);
#endif
PGEventHandler pgEventHandler(this);
image_win->AddEventHandler(&pgEventHandler);
image_win->AddMessageBox();
SVMenuNode* svMenuRoot = build_menu_new();
svMenuRoot->BuildMenu(image_win);
image_win->SetVisible(true);
image_win->AwaitEvent(SVET_DESTROY);
image_win->AddEventHandler(NULL);
}

Pix* tesseract::Tesseract::pix_binary | ( |  | ) | const

inline

Definition at line 164 of file tesseractclass.h.

{
return pix_binary_;
}

Pix* tesseract::Tesseract::pix_grey | ( |  | ) | const

inline

Definition at line 167 of file tesseractclass.h.

{
return pix_grey_;
}

BOOL8 tesseract::Tesseract::potential_word_crunch | ( | WERD_RES * | word,
|  | GARBAGE_LEVEL | garbage_level,
|  | BOOL8 | ok_dict_word
| ) |  |

Definition at line 548 of file docqual.cpp.

{
float rating_per_ch;
int adjusted_len;
const char *str = word->best_choice->unichar_string().string();
const char *lengths = word->best_choice->unichar_lengths().string();
BOOL8 word_crunchable;
int poor_indicator_count = 0;
word_crunchable = !crunch_leave_accept_strings ||
word->reject_map.length() < 3 ||
(acceptable_word_string(*word->uch_set,
str, lengths) == AC_UNACCEPTABLE &&
!ok_dict_word);
adjusted_len = word->reject_map.length();
if (adjusted_len > 10)
adjusted_len = 10;
rating_per_ch = word->best_choice->rating() / adjusted_len;
if (rating_per_ch > crunch_pot_poor_rate) {
if (crunch_debug > 2) {
tprintf("Potential poor rating on \"%s\"\n",
word->best_choice->unichar_string().string());
}
poor_indicator_count++;
}
if (word_crunchable &&
word->best_choice->certainty() < crunch_pot_poor_cert) {
if (crunch_debug > 2) {
tprintf("Potential poor cert on \"%s\"\n",
word->best_choice->unichar_string().string());
}
poor_indicator_count++;
}
if (garbage_level != G_OK) {
if (crunch_debug > 2) {
tprintf("Potential garbage on \"%s\"\n",
word->best_choice->unichar_string().string());
}
poor_indicator_count++;
}
return poor_indicator_count >= crunch_pot_indicators;
}

void tesseract::Tesseract::PrepareForPageseg | ( |  | ) |

Definition at line 461 of file tesseractclass.cpp.

{
textord_.set_use_cjk_fp_model(textord_use_cjk_fp_model);
pixDestroy(&cube_binary_);
cube_binary_ = pixClone(pix_binary());
// Find the max splitter strategy over all langs.
ShiroRekhaSplitter::SplitStrategy max_pageseg_strategy =
static_cast<ShiroRekhaSplitter::SplitStrategy>(
static_cast<inT32>(pageseg_devanagari_split_strategy));
for (int i = 0; i < sub_langs_.size(); ++i) {
ShiroRekhaSplitter::SplitStrategy pageseg_strategy =
static_cast<ShiroRekhaSplitter::SplitStrategy>(
static_cast<inT32>(sub_langs_[i]->pageseg_devanagari_split_strategy));
if (pageseg_strategy > max_pageseg_strategy)
max_pageseg_strategy = pageseg_strategy;
// Clone the cube image to all the sub langs too.
pixDestroy(&sub_langs_[i]->cube_binary_);
sub_langs_[i]->cube_binary_ = pixClone(pix_binary());
pixDestroy(&sub_langs_[i]->pix_binary_);
sub_langs_[i]->pix_binary_ = pixClone(pix_binary());
}
// Perform shiro-rekha (top-line) splitting and replace the current image by
// the newly splitted image.
splitter_.set_orig_pix(pix_binary());
splitter_.set_pageseg_split_strategy(max_pageseg_strategy);
if (splitter_.Split(true)) {
ASSERT_HOST(splitter_.splitted_image());
pixDestroy(&pix_binary_);
pix_binary_ = pixClone(splitter_.splitted_image());
}
}

void tesseract::Tesseract::PrepareForTessOCR | ( | BLOCK_LIST * | block_list,
|  | Tesseract * | osd_tess,
|  | OSResults * | osr
| ) |  |

Definition at line 497 of file tesseractclass.cpp.

{
// Find the max splitter strategy over all langs.
ShiroRekhaSplitter::SplitStrategy max_ocr_strategy =
static_cast<ShiroRekhaSplitter::SplitStrategy>(
static_cast<inT32>(ocr_devanagari_split_strategy));
for (int i = 0; i < sub_langs_.size(); ++i) {
ShiroRekhaSplitter::SplitStrategy ocr_strategy =
static_cast<ShiroRekhaSplitter::SplitStrategy>(
static_cast<inT32>(sub_langs_[i]->ocr_devanagari_split_strategy));
if (ocr_strategy > max_ocr_strategy)
max_ocr_strategy = ocr_strategy;
}
// Utilize the segmentation information available.
splitter_.set_segmentation_block_list(block_list);
splitter_.set_ocr_split_strategy(max_ocr_strategy);
// Run the splitter for OCR
bool split_for_ocr = splitter_.Split(false);
// Restore pix_binary to the binarized original pix for future reference.
ASSERT_HOST(splitter_.orig_pix());
pixDestroy(&pix_binary_);
pix_binary_ = pixClone(splitter_.orig_pix());
// If the pageseg and ocr strategies are different, refresh the block list
// (from the last SegmentImage call) with blobs from the real image to be used
// for OCR.
if (splitter_.HasDifferentSplitStrategies()) {
BLOCK block("", TRUE, 0, 0, 0, 0, pixGetWidth(pix_binary_),
pixGetHeight(pix_binary_));
Pix* pix_for_ocr = split_for_ocr ? splitter_.splitted_image() :
splitter_.orig_pix();
extract_edges(pix_for_ocr, &block);
splitter_.RefreshSegmentationWithNewBlobs(block.blob_list());
}
// The splitter isn't needed any more after this, so save memory by clearing.
splitter_.Clear();
}

BOOL8 tesseract::Tesseract::process_cmd_win_event | ( | inT32 | cmd_event,
|  | char * | new_value
| ) |  |

Definition at line 396 of file pgedit.cpp.

{
char msg[160];
BOOL8 exit = FALSE;
color_mode = CM_RAINBOW;
// Run recognition on the full page if needed.
switch (cmd_event) {
case BLAMER_CMD_EVENT:
case SHOW_SUBSCRIPT_CMD_EVENT:
case SHOW_SUPERSCRIPT_CMD_EVENT:
case SHOW_ITALIC_CMD_EVENT:
case SHOW_BOLD_CMD_EVENT:
case SHOW_UNDERLINE_CMD_EVENT:
case SHOW_FIXEDPITCH_CMD_EVENT:
case SHOW_SERIF_CMD_EVENT:
case SHOW_SMALLCAPS_CMD_EVENT:
case SHOW_DROPCAPS_CMD_EVENT:
if (!recog_done) {
recog_all_words(current_page_res, NULL, NULL, NULL, 0);
recog_done = true;
}
break;
default:
break;
}
switch (cmd_event) {
case NULL_CMD_EVENT:
break;
case CHANGE_DISP_CMD_EVENT:
case DUMP_WERD_CMD_EVENT:
case SHOW_POINT_CMD_EVENT:
case SHOW_BLN_WERD_CMD_EVENT:
case RECOG_WERDS:
case RECOG_PSEUDO:
mode =(CMD_EVENTS) cmd_event;
break;
case DEBUG_WERD_CMD_EVENT:
mode = DEBUG_WERD_CMD_EVENT;
word_config_ = image_win->ShowInputDialog("Config File Name");
break;
case BOUNDING_BOX_CMD_EVENT:
if (new_value[0] == 'T')
word_display_mode.turn_on_bit(DF_BOX);
else
word_display_mode.turn_off_bit(DF_BOX);
mode = CHANGE_DISP_CMD_EVENT;
break;
case BLAMER_CMD_EVENT:
if (new_value[0] == 'T')
word_display_mode.turn_on_bit(DF_BLAMER);
else
word_display_mode.turn_off_bit(DF_BLAMER);
do_re_display(&tesseract::Tesseract::word_display);
mode = CHANGE_DISP_CMD_EVENT;
break;
case CORRECT_TEXT_CMD_EVENT:
if (new_value[0] == 'T')
word_display_mode.turn_on_bit(DF_TEXT);
else
word_display_mode.turn_off_bit(DF_TEXT);
mode = CHANGE_DISP_CMD_EVENT;
break;
case POLYGONAL_CMD_EVENT:
if (new_value[0] == 'T')
word_display_mode.turn_on_bit(DF_POLYGONAL);
else
word_display_mode.turn_off_bit(DF_POLYGONAL);
mode = CHANGE_DISP_CMD_EVENT;
break;
case BL_NORM_CMD_EVENT:
if (new_value[0] == 'T')
word_display_mode.turn_on_bit(DF_BN_POLYGONAL);
else
word_display_mode.turn_off_bit(DF_BN_POLYGONAL);
mode = CHANGE_DISP_CMD_EVENT;
break;
case BITMAP_CMD_EVENT:
if (new_value[0] == 'T')
word_display_mode.turn_on_bit(DF_EDGE_STEP);
else
word_display_mode.turn_off_bit(DF_EDGE_STEP);
mode = CHANGE_DISP_CMD_EVENT;
break;
case UNIFORM_DISP_CMD_EVENT:
do_re_display(&tesseract::Tesseract::word_set_display);
break;
case IMAGE_CMD_EVENT:
display_image =(new_value[0] == 'T');
do_re_display(&tesseract::Tesseract::word_display);
break;
case BLOCKS_CMD_EVENT:
display_blocks =(new_value[0] == 'T');
do_re_display(&tesseract::Tesseract::word_display);
break;
case BASELINES_CMD_EVENT:
display_baselines =(new_value[0] == 'T');
do_re_display(&tesseract::Tesseract::word_display);
break;
case SHOW_SUBSCRIPT_CMD_EVENT:
color_mode = CM_SUBSCRIPT;
do_re_display(&tesseract::Tesseract::word_display);
break;
case SHOW_SUPERSCRIPT_CMD_EVENT:
color_mode = CM_SUPERSCRIPT;
do_re_display(&tesseract::Tesseract::word_display);
break;
case SHOW_ITALIC_CMD_EVENT:
color_mode = CM_ITALIC;
do_re_display(&tesseract::Tesseract::word_display);
break;
case SHOW_BOLD_CMD_EVENT:
color_mode = CM_BOLD;
do_re_display(&tesseract::Tesseract::word_display);
break;
case SHOW_UNDERLINE_CMD_EVENT:
color_mode = CM_UNDERLINE;
do_re_display(&tesseract::Tesseract::word_display);
break;
case SHOW_FIXEDPITCH_CMD_EVENT:
color_mode = CM_FIXEDPITCH;
do_re_display(&tesseract::Tesseract::word_display);
break;
case SHOW_SERIF_CMD_EVENT:
color_mode = CM_SERIF;
do_re_display(&tesseract::Tesseract::word_display);
break;
case SHOW_SMALLCAPS_CMD_EVENT:
color_mode = CM_SMALLCAPS;
do_re_display(&tesseract::Tesseract::word_display);
break;
case SHOW_DROPCAPS_CMD_EVENT:
color_mode = CM_DROPCAPS;
do_re_display(&tesseract::Tesseract::word_display);
break;
case REFRESH_CMD_EVENT:
do_re_display(&tesseract::Tesseract::word_display);
break;
case QUIT_CMD_EVENT:
exit = TRUE;
ScrollView::Exit();
break;
default:
sprintf(msg, "Unrecognised event " INT32FORMAT "(%s)",
cmd_event, new_value);
image_win->AddMessage(msg);
break;
}
return exit;
}

void tesseract::Tesseract::process_image_event | ( | const SVEvent & | event | ) |

process_image_event()

User has done something in the image window - mouse down or up. Work out what it is and do something with it. If DOWN - just remember where it was. If UP - for each word in the selected area do the operation defined by the current mode.

Definition at line 563 of file pgedit.cpp.

{
// The following variable should remain static, since it is used by
// debug editor, which uses a single Tesseract instance.
static ICOORD down;
ICOORD up;
TBOX selection_box;
char msg[80];
switch(event.type) {
case SVET_SELECTION:
if (event.type == SVET_SELECTION) {
down.set_x(event.x + event.x_size);
down.set_y(event.y + event.y_size);
if (mode == SHOW_POINT_CMD_EVENT)
show_point(current_page_res, event.x, event.y);
}
up.set_x(event.x);
up.set_y(event.y);
selection_box = TBOX(down, up);
switch(mode) {
case CHANGE_DISP_CMD_EVENT:
process_selected_words(
current_page_res,
selection_box,
&tesseract::Tesseract::word_blank_and_set_display);
break;
case DUMP_WERD_CMD_EVENT:
process_selected_words(current_page_res,
selection_box,
&tesseract::Tesseract::word_dumper);
break;
case SHOW_BLN_WERD_CMD_EVENT:
process_selected_words(current_page_res,
selection_box,
&tesseract::Tesseract::word_bln_display);
break;
case DEBUG_WERD_CMD_EVENT:
debug_word(current_page_res, selection_box);
break;
case SHOW_POINT_CMD_EVENT:
break; // ignore up event
case RECOG_WERDS:
image_win->AddMessage("Recogging selected words");
this->process_selected_words(current_page_res,
selection_box,
&Tesseract::recog_interactive);
break;
case RECOG_PSEUDO:
image_win->AddMessage("Recogging selected blobs");
recog_pseudo_word(current_page_res, selection_box);
break;
default:
sprintf(msg, "Mode %d not yet implemented", mode);
image_win->AddMessage(msg);
break;
}
default:
break;
}
}

void tesseract::Tesseract::process_selected_words | ( | PAGE_RES * | page_res,
|  | TBOX & | selection_box,
|  | BOOL8(tesseract::Tesseract::*)(BLOCK *block, ROW *row, WERD_RES *word_res) | word_processor
| ) |  |

Definition at line 31 of file pagewalk.cpp.

{
for (PAGE_RES_IT page_res_it(page_res); page_res_it.word() != NULL;
page_res_it.forward()) {
WERD* word = page_res_it.word()->word;
if (word->bounding_box().overlap(selection_box)) {
if (!((this->*word_processor)(page_res_it.block()->block,
page_res_it.row()->row,
page_res_it.word())))
return;
}
}
}

bool tesseract::Tesseract::ProcessTargetWord | ( | const TBOX & | word_box,
|  | const TBOX & | target_word_box,
|  | const char * | word_config,
|  | int | pass
| ) |  |

Definition at line 128 of file control.cpp.

{
if (word_config != NULL) {
if (word_box.major_overlap(target_word_box)) {
if (backup_config_file_ == NULL) {
backup_config_file_ = kBackUpConfigFile;
FILE* config_fp = fopen(backup_config_file_, "wb");
ParamUtils::PrintParams(config_fp, params());
fclose(config_fp);
ParamUtils::ReadParamsFile(word_config,
SET_PARAM_CONSTRAINT_DEBUG_ONLY,
params());
}
} else {
if (backup_config_file_ != NULL) {
ParamUtils::ReadParamsFile(backup_config_file_,
SET_PARAM_CONSTRAINT_DEBUG_ONLY,
params());
backup_config_file_ = NULL;
}
}
} else if (pass > 1 && !word_box.major_overlap(target_word_box)) {
return false;
}
return true;
}

void tesseract::Tesseract::quality_based_rejection | ( | PAGE_RES_IT & | page_res_it,
|  | BOOL8 | good_quality_doc
| ) |  |

Definition at line 143 of file docqual.cpp.

{
if ((tessedit_good_quality_unrej && good_quality_doc))
unrej_good_quality_words(page_res_it);
doc_and_block_rejection(page_res_it, good_quality_doc);
if (unlv_tilde_crunching) {
tilde_crunch(page_res_it);
tilde_delete(page_res_it);
}
}

void tesseract::Tesseract::read_config_file | ( | const char * | filename,
|  | SetParamConstraint | constraint
| ) |  |

Definition at line 67 of file tessedit.cpp.

{
STRING path = datadir;
path += "configs/";
path += filename;
FILE* fp;
if ((fp = fopen(path.string(), "rb")) != NULL) {
fclose(fp);
} else {
path = datadir;
path += "tessconfigs/";
path += filename;
if ((fp = fopen(path.string(), "rb")) != NULL) {
fclose(fp);
} else {
path = filename;
}
}
ParamUtils::ReadParamsFile(path.string(), constraint, this->params());
}

bool tesseract::Tesseract::recog_all_words | ( | PAGE_RES * | page_res,
|  | ETEXT_DESC * | monitor,
|  | const TBOX * | target_word_box,
|  | const char * | word_config,
|  | int | dopasses
| ) |  |

recog_all_words()

Walk the page_res, recognizing all the words. If monitor is not null, it is used as a progress monitor/timeout/cancel. If dopasses is 0, all recognition passes are run, 1 just pass 1, 2 passes2 and higher. If target_word_box is not null, special things are done to words that overlap the target_word_box: if word_config is not null, the word config file is read for just the target word(s), otherwise, on pass 2 and beyond ONLY the target words are processed (Jetsoft modification.) Returns false if we cancelled prematurely.

Parameters:

  page_res | page structure
  monitor | progress monitor
  word_config | word_config file
  target_word_box | specifies just to extract a rectangle
  dopasses | 0 - all, 1 just pass 1, 2 passes 2 and higher

Definition at line 178 of file control.cpp.

{
PAGE_RES_IT page_res_it;
inT32 word_index; // current word
if (tessedit_minimal_rej_pass1) {
tessedit_test_adaption.set_value (TRUE);
tessedit_minimal_rejection.set_value (TRUE);
}
// Before the main recognition loop below, walk through the whole page and set
// up fake words. That way, if we run out of time a user will still get the
// expected best_choice and box_words out the end; they'll just be empty.
page_res_it.page_res = page_res;
for (page_res_it.restart_page(); page_res_it.word() != NULL;
page_res_it.forward()) {
page_res_it.word()->SetupFake(unicharset);
}
if (dopasses==0 || dopasses==1) {
page_res_it.page_res=page_res;
page_res_it.restart_page();
// ****************** Pass 1 *******************
// Clear adaptive classifier at the beginning of the page if it is full.
// This is done only at the beginning of the page to ensure that the
// classifier is not reset at an arbitrary point while processing the page,
// which would cripple Passes 2+ if the reset happens towards the end of
// Pass 1 on a page with very difficult text.
// TODO(daria): preemptively clear the classifier if it is almost full.
if (AdaptiveClassifierIsFull()) ResetAdaptiveClassifierInternal();
// Now check the sub-langs as well.
for (int i = 0; i < sub_langs_.size(); ++i) {
if (sub_langs_[i]->AdaptiveClassifierIsFull())
sub_langs_[i]->ResetAdaptiveClassifierInternal();
}
stats_.word_count = 0;
if (monitor != NULL) {
monitor->ocr_alive = TRUE;
while (page_res_it.word() != NULL) {
stats_.word_count++;
page_res_it.forward();
}
page_res_it.restart_page();
} else {
stats_.word_count = 1;
}
word_index = 0;
stats_.dict_words = 0;
stats_.doc_blob_quality = 0;
stats_.doc_outline_errs = 0;
stats_.doc_char_quality = 0;
stats_.good_char_count = 0;
stats_.doc_good_char_quality = 0;
most_recently_used_ = this;
while (page_res_it.word() != NULL) {
set_global_loc_code(LOC_PASS1);
word_index++;
if (monitor != NULL) {
monitor->ocr_alive = TRUE;
monitor->progress = 30 + 50 * word_index / stats_.word_count;
if (monitor->deadline_exceeded() ||
(monitor->cancel != NULL && (*monitor->cancel)(monitor->cancel_this,
stats_.dict_words)))
return false;
}
if (target_word_box &&
!ProcessTargetWord(page_res_it.word()->word->bounding_box(),
*target_word_box, word_config, 1)) {
page_res_it.forward();
continue;
}
classify_word_and_language(&Tesseract::classify_word_pass1,
page_res_it.block()->block,
page_res_it.row()->row,
page_res_it.word());
if (page_res_it.word()->word->flag(W_REP_CHAR)) {
fix_rep_char(&page_res_it);
page_res_it.forward();
continue;
}
if (tessedit_dump_choices) {
word_dumper(NULL, page_res_it.row()->row, page_res_it.word());
tprintf("Pass1: %s [%s]\n",
page_res_it.word()->best_choice->unichar_string().string(),
page_res_it.word()->best_choice->debug_string().string());
}
// tessedit_test_adaption enables testing of the accuracy of the
// input to the adaptive classifier.
if (tessedit_test_adaption && !tessedit_minimal_rejection) {
if (!word_adaptable (page_res_it.word(),
tessedit_test_adaption_mode)) {
page_res_it.word()->reject_map.rej_word_tess_failure();
// FAKE PERM REJ
} else {
// Override rejection mechanisms for this word.
UNICHAR_ID space = unicharset.unichar_to_id(" ");
for (int i = 0; i < page_res_it.word()->best_choice->length(); i++) {
if ((page_res_it.word()->best_choice->unichar_id(i) != space) &&
page_res_it.word()->reject_map[i].rejected())
page_res_it.word()->reject_map[i].setrej_minimal_rej_accept();
}
}
}
// Count dict words.
if (page_res_it.word()->best_choice->permuter() == USER_DAWG_PERM)
++(stats_.dict_words);
// Update misadaption log (we only need to do it on pass 1, since
// adaption only happens on this pass).
if (page_res_it.word()->blamer_bundle != NULL &&
page_res_it.word()->blamer_bundle->misadaption_debug.length() > 0) {
page_res->misadaption_log.push_back(
page_res_it.word()->blamer_bundle->misadaption_debug);
}
page_res_it.forward();
}
}
if (dopasses == 1) return true;
// ****************** Pass 2 *******************
page_res_it.restart_page();
word_index = 0;
most_recently_used_ = this;
while (!tessedit_test_adaption && page_res_it.word() != NULL) {
set_global_loc_code(LOC_PASS2);
word_index++;
if (monitor != NULL) {
monitor->ocr_alive = TRUE;
monitor->progress = 80 + 10 * word_index / stats_.word_count;
if (monitor->deadline_exceeded() ||
(monitor->cancel != NULL && (*monitor->cancel)(monitor->cancel_this,
stats_.dict_words)))
return false;
}
// changed by jetsoft
// specific to its needs to extract one word when need
if (target_word_box &&
!ProcessTargetWord(page_res_it.word()->word->bounding_box(),
*target_word_box, word_config, 2)) {
page_res_it.forward();
continue;
}
// end jetsoft
classify_word_and_language(&Tesseract::classify_word_pass2,
page_res_it.block()->block,
page_res_it.row()->row,
page_res_it.word());
if (page_res_it.word()->word->flag(W_REP_CHAR) &&
!page_res_it.word()->done) {
fix_rep_char(&page_res_it);
page_res_it.forward();
continue;
}
if (tessedit_dump_choices) {
word_dumper(NULL, page_res_it.row()->row, page_res_it.word());
tprintf("Pass2: %s [%s]\n",
page_res_it.word()->best_choice->unichar_string().string(),
page_res_it.word()->best_choice->debug_string().string());
}
page_res_it.forward();
}
// The next passes can only be run if tesseract has been used, as cube
// doesn't set all the necessary outputs in WERD_RES.
if (tessedit_ocr_engine_mode == OEM_TESSERACT_ONLY ||
tessedit_ocr_engine_mode == OEM_TESSERACT_CUBE_COMBINED) {
// ****************** Pass 3 *******************
// Fix fuzzy spaces.
set_global_loc_code(LOC_FUZZY_SPACE);
if (!tessedit_test_adaption && tessedit_fix_fuzzy_spaces
&& !tessedit_word_for_word && !right_to_left())
fix_fuzzy_spaces(monitor, stats_.word_count, page_res);
// ****************** Pass 4 *******************
if (tessedit_enable_bigram_correction) bigram_correction_pass(page_res);
// ****************** Pass 5,6 *******************
rejection_passes(page_res, monitor, target_word_box, word_config);
// ****************** Pass 7 *******************
// Cube combiner.
// If cube is loaded and its combiner is present, run it.
if (tessedit_ocr_engine_mode == OEM_TESSERACT_CUBE_COMBINED) {
run_cube_combiner(page_res);
}
// ****************** Pass 8 *******************
font_recognition_pass(page_res);
// ****************** Pass 9 *******************
// Check the correctness of the final results.
blamer_pass(page_res);
}
if (!save_blob_choices) {
// We aren't saving the blob choices so get rid of them now.
// set_blob_choices() does a deep clear.
page_res_it.restart_page();
while (page_res_it.word() != NULL) {
WERD_RES* word = page_res_it.word();
word->best_choice->set_blob_choices(NULL);
page_res_it.forward();
}
}
// Write results pass.
set_global_loc_code(LOC_WRITE_RESULTS);
// This is now redundant, but retained commented so show how to obtain
// bounding boxes and style information.
// changed by jetsoft
// needed for dll to output memory structure
if ((dopasses == 0 || dopasses == 2) && (monitor || tessedit_write_unlv))
output_pass(page_res_it, target_word_box);
// end jetsoft
PageSegMode pageseg_mode = static_cast<PageSegMode>(
static_cast<int>(tessedit_pageseg_mode));
textord_.CleanupSingleRowResult(pageseg_mode, page_res);
if (monitor != NULL) {
monitor->progress = 100;
}
return true;
}

BOOL8 tesseract::Tesseract::recog_interactive | ( | BLOCK * | block,
|  | ROW * | row,
|  | WERD_RES * | word_res
| ) |  |

recog_interactive

Recognize a single word in interactive mode.

Parameters:

  block | block
  row | row of word
  word_res | word to recognise

Definition at line 97 of file control.cpp.

{
inT16 char_qual;
inT16 good_char_qual;
classify_word_and_language(&Tesseract::classify_word_pass2,
block, row, word_res);
if (tessedit_debug_quality_metrics) {
word_char_quality(word_res, row, &char_qual, &good_char_qual);
tprintf
("\n%d chars; word_blob_quality: %d; outline_errs: %d; char_quality: %d; good_char_quality: %d\n",
word_res->reject_map.length(), word_blob_quality(word_res, row),
word_outline_errs(word_res), char_qual, good_char_qual);
}
return TRUE;
}

void tesseract::Tesseract::recog_pseudo_word | ( | PAGE_RES * | page_res,
|  | TBOX & | selection_box
| ) |  |

Definition at line 72 of file control.cpp.

{
WERD *word;
ROW *pseudo_row; // row of word
BLOCK *pseudo_block; // block of word
word = make_pseudo_word(page_res, selection_box,
pseudo_block, pseudo_row);
if (word != NULL) {
WERD_RES word_res(word);
recog_interactive(pseudo_block, pseudo_row, &word_res);
delete word;
}
}

void tesseract::Tesseract::recog_training_segmented | ( | const STRING & | fname,
|  | PAGE_RES * | page_res,
|  | volatile ETEXT_DESC * | monitor,
|  | FILE * | output_file
| ) |  |

Definition at line 88 of file recogtraining.cpp.

{
STRING box_fname = fname;
const char *lastdot = strrchr(box_fname.string(), '.');
if (lastdot != NULL) box_fname[lastdot - box_fname.string()] = '\0';
box_fname += ".box";
// read_next_box() will close box_file
FILE *box_file = open_file(box_fname.string(), "r");
PAGE_RES_IT page_res_it;
page_res_it.page_res = page_res;
page_res_it.restart_page();
STRING label;
// Process all the words on this page.
TBOX tbox; // tesseract-identified box
TBOX bbox; // box from the box file
bool keep_going;
int line_number = 0;
int examined_words = 0;
do {
keep_going = read_t(&page_res_it, &tbox);
keep_going &= ReadNextBox(applybox_page, &line_number, box_file, &label,
&bbox);
// Align bottom left points of the TBOXes.
while (keep_going &&
!NearlyEqual<int>(tbox.bottom(), bbox.bottom(), kMaxBoxEdgeDiff)) {
keep_going = (bbox.bottom() < tbox.bottom()) ?
read_t(&page_res_it, &tbox) :
ReadNextBox(applybox_page, &line_number, box_file, &label, &bbox);
}
while (keep_going &&
!NearlyEqual<int>(tbox.left(), bbox.left(), kMaxBoxEdgeDiff)) {
keep_going = (bbox.left() > tbox.left()) ? read_t(&page_res_it, &tbox) :
ReadNextBox(applybox_page, &line_number, box_file, &label, &bbox);
}
// OCR the word if top right points of the TBOXes are similar.
if (keep_going &&
NearlyEqual<int>(tbox.right(), bbox.right(), kMaxBoxEdgeDiff) &&
NearlyEqual<int>(tbox.top(), bbox.top(), kMaxBoxEdgeDiff)) {
ambigs_classify_and_output(page_res_it.prev_word(),
page_res_it.prev_row(),
page_res_it.prev_block(),
label.string(), output_file);
examined_words++;
}
} while (keep_going);
// Set up scripts on all of the words that did not get sent to
// ambigs_classify_and_output. They all should have, but if all the
// werd_res's don't get uch_sets, tesseract will crash when you try
// to iterate over them. :-(
int total_words = 0;
for (page_res_it.restart_page(); page_res_it.block() != NULL;
page_res_it.forward()) {
if (page_res_it.word()) {
if (page_res_it.word()->uch_set == NULL)
page_res_it.word()->SetupFake(unicharset);
total_words++;
}
}
if (examined_words < 0.85 * total_words) {
tprintf("TODO(antonova): clean up recog_training_segmented; "
" It examined only a small fraction of the ambigs image.\n");
}
tprintf("recog_training_segmented: examined %d / %d words.\n",
examined_words, total_words);
}

void tesseract::Tesseract::recog_word | ( | WERD_RES * | word,
|  | BLOB_CHOICE_LIST_CLIST * | blob_choices
| ) |  |

Definition at line 54 of file tfacepp.cpp.

{
ASSERT_HOST(word->chopped_word->blobs != NULL);
recog_word_recursive(word, blob_choices);
word->SetupBoxWord();
if ((word->best_choice->length() != word->box_word->length()) ||
(word->best_choice->length() != blob_choices->length())) {
tprintf("recog_word ASSERT FAIL String:\"%s\"; "
"Strlen=%d; #Blobs=%d; #Choices=%d\n",
word->best_choice->debug_string().string(),
word->best_choice->length(), word->box_word->length(),
blob_choices->length());
}
ASSERT_HOST(word->best_choice->length() == word->box_word->length());
ASSERT_HOST(word->best_choice->length() == blob_choices->length());
if (tessedit_override_permuter) {
/* Override the permuter type if a straight dictionary check disagrees. */
uinT8 perm_type = word->best_choice->permuter();
if ((perm_type != SYSTEM_DAWG_PERM) &&
(perm_type != FREQ_DAWG_PERM) && (perm_type != USER_DAWG_PERM)) {
uinT8 real_dict_perm_type = dict_word(*word->best_choice);
if (((real_dict_perm_type == SYSTEM_DAWG_PERM) ||
(real_dict_perm_type == FREQ_DAWG_PERM) ||
(real_dict_perm_type == USER_DAWG_PERM)) &&
(alpha_count(word->best_choice->unichar_string().string(),
word->best_choice->unichar_lengths().string()) > 0)) {
word->best_choice->set_permuter(real_dict_perm_type); // use dict perm
}
}
if (tessedit_rejection_debug &&
perm_type != word->best_choice->permuter()) {
tprintf("Permuter Type Flipped from %d to %d\n",
perm_type, word->best_choice->permuter());
}
}
// Factored out from control.cpp
ASSERT_HOST((word->best_choice == NULL) == (word->raw_choice == NULL));
if (word->best_choice == NULL || word->best_choice->length() == 0 ||
strspn(word->best_choice->unichar_string().string(), " ") ==
word->best_choice->length()) {
word->tess_failed = true;
word->reject_map.initialise(word->box_word->length());
word->reject_map.rej_word_tess_failure();
} else {
word->tess_failed = false;
}
}

void tesseract::Tesseract::recog_word_recursive | ( | WERD_RES * | word,
|  | BLOB_CHOICE_LIST_CLIST * | blob_choices
| ) |  |

Definition at line 109 of file tfacepp.cpp.

{
int word_length = word->chopped_word->NumBlobs(); // no of blobs
if (word_length > MAX_UNDIVIDED_LENGTH) {
return split_and_recog_word(word, blob_choices);
}
int initial_blob_choice_len = blob_choices->length();
BLOB_CHOICE_LIST_VECTOR* tess_ratings = cc_recog(word);
// Put BLOB_CHOICE_LISTs from tess_ratings into blob_choices.
BLOB_CHOICE_LIST_C_IT blob_choices_it(blob_choices);
for (int i = 0; i < tess_ratings->length(); ++i) {
blob_choices_it.add_to_end(tess_ratings->get(i));
}
delete tess_ratings;
word_length = word->rebuild_word->NumBlobs(); // No of blobs in output.
// Pad raw_choice with spaces if needed.
if (word->raw_choice->length() < word_length) {
UNICHAR_ID space_id = unicharset.unichar_to_id(" ");
while (word->raw_choice->length() < word_length) {
word->raw_choice->append_unichar_id(space_id, 1, 0.0,
word->raw_choice->certainty());
}
}
// Do sanity checks and minor fixes on best_choice.
if (word->best_choice->length() > word_length) {
word->best_choice->make_bad(); // should never happen
tprintf("recog_word: Discarded long string \"%s\""
" (%d characters vs %d blobs)\n",
word->best_choice->unichar_string().string(),
word->best_choice->length(), word_length);
tprintf("Word is at:");
word->word->bounding_box().print();
}
if (blob_choices->length() - initial_blob_choice_len != word_length) {
word->best_choice->make_bad(); // force rejection
tprintf("recog_word: Choices list len:%d; blob lists len:%d\n",
blob_choices->length(), word_length);
blob_choices_it.set_to_list(blob_choices); // list of lists
while (blob_choices->length() - initial_blob_choice_len < word_length) {
blob_choices_it.add_to_end(new BLOB_CHOICE_LIST()); // add a fake one
tprintf("recog_word: Added dummy choice list\n");
}
while (blob_choices->length() - initial_blob_choice_len > word_length) {
blob_choices_it.move_to_last(); // should never happen
delete blob_choices_it.extract();
tprintf("recog_word: Deleted choice list\n");
}
}
if (word->best_choice->length() < word_length) {
UNICHAR_ID space_id = unicharset.unichar_to_id(" ");
while (word->best_choice->length() < word_length) {
word->best_choice->append_unichar_id(space_id, 1, 0.0,
word->best_choice->certainty());
}
}
}

void tesseract::Tesseract::recognize_page | ( | STRING & | image_name | ) |

void tesseract::Tesseract::reject_edge_blobs | ( | WERD_RES * | word | ) |

Definition at line 427 of file reject.cpp.

{
TBOX word_box = word->word->bounding_box();
// Use the box_word as it is already denormed back to image coordinates.
int blobcount = word->box_word->length();
if (word_box.left() < tessedit_image_border ||
word_box.bottom() < tessedit_image_border ||
word_box.right() + tessedit_image_border > ImageWidth() - 1 ||
word_box.top() + tessedit_image_border > ImageHeight() - 1) {
ASSERT_HOST(word->reject_map.length() == blobcount);
for (int blobindex = 0; blobindex < blobcount; blobindex++) {
TBOX blob_box = word->box_word->BlobBox(blobindex);
if (blob_box.left() < tessedit_image_border ||
blob_box.bottom() < tessedit_image_border ||
blob_box.right() + tessedit_image_border > ImageWidth() - 1 ||
blob_box.top() + tessedit_image_border > ImageHeight() - 1) {
word->reject_map[blobindex].setrej_edge_char();
// Close to edge
}
}
}
}

void tesseract::Tesseract::reject_I_1_L | ( | WERD_RES * | word | ) |

Definition at line 303 of file reject.cpp.

{
inT16 i;
inT16 offset;
for (i = 0, offset = 0; word->best_choice->unichar_string()[offset] != '\0';
offset += word->best_choice->unichar_lengths()[i], i += 1) {
if (STRING (conflict_set_I_l_1).
contains (word->best_choice->unichar_string()[offset])) {
//rej 1Il conflict
word->reject_map[i].setrej_1Il_conflict ();
}
}
}

void tesseract::Tesseract::reject_mostly_rejects | ( | WERD_RES * | word | ) |

Definition at line 752 of file reject.cpp.

{
/* Reject the whole of the word if the fraction of rejects exceeds a limit */
if ((float) word->reject_map.reject_count() / word->reject_map.length() >=
rej_whole_of_mostly_reject_word_fract)
word->reject_map.rej_word_mostly_rej();
}

void tesseract::Tesseract::rejection_passes | ( | PAGE_RES * | page_res,
|  | ETEXT_DESC * | monitor,
|  | const TBOX * | target_word_box,
|  | const char * | word_config
| ) |  |

Definition at line 588 of file control.cpp.

{
PAGE_RES_IT page_res_it(page_res);
// ****************** Pass 5 *******************
// Gather statistics on rejects.
int word_index = 0;
while (!tessedit_test_adaption && page_res_it.word() != NULL) {
set_global_loc_code(LOC_MM_ADAPT);
WERD_RES* word = page_res_it.word();
word_index++;
if (monitor != NULL) {
monitor->ocr_alive = TRUE;
monitor->progress = 95 + 5 * word_index / stats_.word_count;
}
if (word->rebuild_word == NULL) {
// Word was not processed by tesseract.
page_res_it.forward();
continue;
}
check_debug_pt(word, 70);
// changed by jetsoft
// specific to its needs to extract one word when need
if (target_word_box &&
!ProcessTargetWord(word->word->bounding_box(),
*target_word_box, word_config, 4)) {
page_res_it.forward();
continue;
}
// end jetsoft
page_res_it.rej_stat_word();
int chars_in_word = word->reject_map.length();
int rejects_in_word = word->reject_map.reject_count();
int blob_quality = word_blob_quality(word, page_res_it.row()->row);
stats_.doc_blob_quality += blob_quality;
int outline_errs = word_outline_errs(word);
stats_.doc_outline_errs += outline_errs;
inT16 all_char_quality;
inT16 accepted_all_char_quality;
word_char_quality(word, page_res_it.row()->row,
&all_char_quality, &accepted_all_char_quality);
stats_.doc_char_quality += all_char_quality;
uinT8 permuter_type = word->best_choice->permuter();
if ((permuter_type == SYSTEM_DAWG_PERM) ||
(permuter_type == FREQ_DAWG_PERM) ||
(permuter_type == USER_DAWG_PERM)) {
stats_.good_char_count += chars_in_word - rejects_in_word;
stats_.doc_good_char_quality += accepted_all_char_quality;
}
check_debug_pt(word, 80);
if (tessedit_reject_bad_qual_wds &&
(blob_quality == 0) && (outline_errs >= chars_in_word))
word->reject_map.rej_word_bad_quality();
check_debug_pt(word, 90);
page_res_it.forward();
}
if (tessedit_debug_quality_metrics) {
tprintf
("QUALITY: num_chs= %d num_rejs= %d %5.3f blob_qual= %d %5.3f"
" outline_errs= %d %5.3f char_qual= %d %5.3f good_ch_qual= %d %5.3f\n",
page_res->char_count, page_res->rej_count,
page_res->rej_count / static_cast<float>(page_res->char_count),
stats_.doc_blob_quality,
stats_.doc_blob_quality / static_cast<float>(page_res->char_count),
stats_.doc_outline_errs,
stats_.doc_outline_errs / static_cast<float>(page_res->char_count),
stats_.doc_char_quality,
stats_.doc_char_quality / static_cast<float>(page_res->char_count),
stats_.doc_good_char_quality,
(stats_.good_char_count > 0) ?
(stats_.doc_good_char_quality /
static_cast<float>(stats_.good_char_count)) : 0.0);
}
BOOL8 good_quality_doc =
((page_res->rej_count / static_cast<float>(page_res->char_count)) <=
quality_rej_pc) &&
(stats_.doc_blob_quality / static_cast<float>(page_res->char_count) >=
quality_blob_pc) &&
(stats_.doc_outline_errs / static_cast<float>(page_res->char_count) <=
quality_outline_pc) &&
(stats_.doc_char_quality / static_cast<float>(page_res->char_count) >=
quality_char_pc);
// ****************** Pass 6 *******************
// Do whole document or whole block rejection pass
if (!tessedit_test_adaption) {
set_global_loc_code(LOC_DOC_BLK_REJ);
quality_based_rejection(page_res_it, good_quality_doc);
}
}

BOOL8 tesseract::Tesseract::repeated_nonalphanum_wd | ( | WERD_RES * | word,
|  | ROW * | row
| ) |  |

Definition at line 761 of file reject.cpp.

{
inT16 char_quality;
inT16 accepted_char_quality;
if (word->best_choice->unichar_lengths().length() <= 1)
return FALSE;
if (!STRING(ok_repeated_ch_non_alphanum_wds).
contains(word->best_choice->unichar_string()[0]))
return FALSE;
UNICHAR_ID uch_id = word->best_choice->unichar_id(0);
for (int i = 1; i < word->best_choice->length(); ++i) {
if (word->best_choice->unichar_id(i) != uch_id) return FALSE;
}
word_char_quality(word, row, &char_quality, &accepted_char_quality);
if ((word->best_choice->unichar_lengths().length () == char_quality) &&
(char_quality == accepted_char_quality))
return TRUE;
else
return FALSE;
}

void tesseract::Tesseract::ReportFailedBox | ( | int | boxfile_lineno,
|  | TBOX | box,
|  | const char * | box_ch,
|  | const char * | err_msg
| ) |  |

Definition at line 756 of file applybox.cpp.

{
tprintf("APPLY_BOXES: boxfile line %d/%s ((%d,%d),(%d,%d)): %s\n",
boxfile_lineno, box_ch,
box.left(), box.bottom(), box.right(), box.top(), err_msg);
}

void tesseract::Tesseract::ReportXhtFixResult | ( | bool | accept_new_word,
|  | float | new_x_ht,
|  | WERD_RES * | word,
|  | WERD_RES * | new_word
| ) |  |

Definition at line 955 of file control.cpp.

{
tprintf("New XHT Match:%s = %s ",
word->best_choice->unichar_string().string(),
word->best_choice->debug_string().string());
word->reject_map.print(debug_fp);
tprintf(" -> %s = %s ",
new_word->best_choice->unichar_string().string(),
new_word->best_choice->debug_string().string());
new_word->reject_map.print(debug_fp);
tprintf(" %s->%s %s %s\n",
word->guessed_x_ht ? "GUESS" : "CERT",
new_word->guessed_x_ht ? "GUESS" : "CERT",
new_x_ht > 0.1 ? "STILL DOUBT" : "OK",
accept_new_word ? "ACCEPTED" : "");
}

void tesseract::Tesseract::ReSegmentByClassification | ( | PAGE_RES * | page_res | ) |

Definition at line 510 of file applybox.cpp.

{
PAGE_RES_IT pr_it(page_res);
WERD_RES* word_res;
for (; (word_res = pr_it.word()) != NULL; pr_it.forward()) {
WERD* word = word_res->word;
if (word->text() == NULL || word->text()[0] == '\0')
continue; // Ignore words that have no text.
// Convert the correct text to a vector of UNICHAR_ID
GenericVector<UNICHAR_ID> target_text;
if (!ConvertStringToUnichars(word->text(), &target_text)) {
tprintf("APPLY_BOX: FAILURE: can't find class_id for '%s'\n",
word->text());
pr_it.DeleteCurrentWord();
continue;
}
if (!FindSegmentation(target_text, word_res)) {
tprintf("APPLY_BOX: FAILURE: can't find segmentation for '%s'\n",
word->text());
pr_it.DeleteCurrentWord();
continue;
}
}
}

bool tesseract::Tesseract::ResegmentCharBox | ( | PAGE_RES * | page_res,
|  | const TBOX * | prev_box,
|  | const TBOX & | box,
|  | const TBOX & | next_box,
|  | const char * | correct_text
| ) |  |

Definition at line 341 of file applybox.cpp.

{
if (applybox_debug > 1) {
tprintf("\nAPPLY_BOX: in ResegmentCharBox() for %s\n", correct_text);
}
PAGE_RES_IT page_res_it(page_res);
WERD_RES* word_res;
for (word_res = page_res_it.word(); word_res != NULL;
word_res = page_res_it.forward()) {
if (!word_res->box_word->bounding_box().major_overlap(box))
continue;
if (applybox_debug > 1) {
tprintf("Checking word box:");
word_res->box_word->bounding_box().print();
}
int word_len = word_res->box_word->length();
for (int i = 0; i < word_len; ++i) {
TBOX char_box = TBOX();
int blob_count = 0;
for (blob_count = 0; i + blob_count < word_len; ++blob_count) {
TBOX blob_box = word_res->box_word->BlobBox(i + blob_count);
if (!blob_box.major_overlap(box))
break;
if (word_res->correct_text[i + blob_count].length() > 0)
break; // Blob is claimed already.
double current_box_miss_metric = BoxMissMetric(blob_box, box);
double next_box_miss_metric = BoxMissMetric(blob_box, next_box);
if (applybox_debug > 2) {
tprintf("Checking blob:");
blob_box.print();
tprintf("Current miss metric = %g, next = %g\n",
current_box_miss_metric, next_box_miss_metric);
}
if (current_box_miss_metric > next_box_miss_metric)
break; // Blob is a better match for next box.
char_box += blob_box;
}
if (blob_count > 0) {
if (applybox_debug > 1) {
tprintf("Index [%d, %d) seem good.\n", i, i + blob_count);
}
if (!char_box.almost_equal(box, 3) &&
(box.x_gap(next_box) < -3 ||
(prev_box != NULL && prev_box->x_gap(box) < -3))) {
return false;
}
// We refine just the box_word, best_state and correct_text here.
// The rebuild_word is made in TidyUp.
// blob_count blobs are put together to match the box. Merge the
// box_word boxes, save the blob_count in the state and the text.
word_res->box_word->MergeBoxes(i, i + blob_count);
word_res->best_state[i] = blob_count;
word_res->correct_text[i] = correct_text;
if (applybox_debug > 2) {
tprintf("%d Blobs match: blob box:", blob_count);
word_res->box_word->BlobBox(i).print();
tprintf("Matches box:");
box.print();
tprintf("With next box:");
next_box.print();
}
// Eliminated best_state and correct_text entries for the consumed
// blobs.
for (int j = 1; j < blob_count; ++j) {
word_res->best_state.remove(i + 1);
word_res->correct_text.remove(i + 1);
}
// Assume that no box spans multiple source words, so we are done with
// this box.
if (applybox_debug > 1) {
tprintf("Best state = ");
for (int j = 0; j < word_res->best_state.size(); ++j) {
tprintf("%d ", word_res->best_state[j]);
}
tprintf("\n");
tprintf("Correct text = [[ ");
for (int j = 0; j < word_res->correct_text.size(); ++j) {
tprintf("%s ", word_res->correct_text[j].string());
}
tprintf("]]\n");
}
return true;
}
}
}
if (applybox_debug > 0) {
tprintf("FAIL!\n");
}
return false; // Failure.
}

bool tesseract::Tesseract::ResegmentWordBox | ( | BLOCK_LIST * | block_list,
|  | const TBOX & | box,
|  | const TBOX & | next_box,
|  | const char * | correct_text
| ) |  |

Definition at line 439 of file applybox.cpp.

{
if (applybox_debug > 1) {
tprintf("\nAPPLY_BOX: in ResegmentWordBox() for %s\n", correct_text);
}
WERD* new_word = NULL;
BLOCK_IT b_it(block_list);
for (b_it.mark_cycle_pt(); !b_it.cycled_list(); b_it.forward()) {
BLOCK* block = b_it.data();
if (!box.major_overlap(block->bounding_box()))
continue;
ROW_IT r_it(block->row_list());
for (r_it.mark_cycle_pt(); !r_it.cycled_list(); r_it.forward ()) {
ROW* row = r_it.data();
if (!box.major_overlap(row->bounding_box()))
continue;
WERD_IT w_it(row->word_list());
for (w_it.mark_cycle_pt(); !w_it.cycled_list(); w_it.forward()) {
WERD* word = w_it.data();
if (applybox_debug > 2) {
tprintf("Checking word:");
word->bounding_box().print();
}
if (word->text() != NULL && word->text()[0] != '\0')
continue; // Ignore words that are already done.
if (!box.major_overlap(word->bounding_box()))
continue;
C_BLOB_IT blob_it(word->cblob_list());
for (blob_it.mark_cycle_pt(); !blob_it.cycled_list();
blob_it.forward()) {
C_BLOB* blob = blob_it.data();
TBOX blob_box = blob->bounding_box();
if (!blob_box.major_overlap(box))
continue;
double current_box_miss_metric = BoxMissMetric(blob_box, box);
double next_box_miss_metric = BoxMissMetric(blob_box, next_box);
if (applybox_debug > 2) {
tprintf("Checking blob:");
blob_box.print();
tprintf("Current miss metric = %g, next = %g\n",
current_box_miss_metric, next_box_miss_metric);
}
if (current_box_miss_metric > next_box_miss_metric)
continue; // Blob is a better match for next box.
if (applybox_debug > 2) {
tprintf("Blob match: blob:");
blob_box.print();
tprintf("Matches box:");
box.print();
tprintf("With next box:");
next_box.print();
}
if (new_word == NULL) {
// Make a new word with a single blob.
new_word = word->shallow_copy();
new_word->set_text(correct_text);
w_it.add_to_end(new_word);
}
C_BLOB_IT new_blob_it(new_word->cblob_list());
new_blob_it.add_to_end(blob_it.extract());
}
}
}
}
if (new_word == NULL && applybox_debug > 0) tprintf("FAIL!\n");
return new_word != NULL;
}

void tesseract::Tesseract::ResetAdaptiveClassifier | ( |  | ) |

Definition at line 433 of file tesseractclass.cpp.

{
ResetAdaptiveClassifierInternal();
for (int i = 0; i < sub_langs_.size(); ++i) {
sub_langs_[i]->ResetAdaptiveClassifierInternal();
}
}

void tesseract::Tesseract::ResetDocumentDictionary | ( |  | ) |

Definition at line 441 of file tesseractclass.cpp.

{
getDict().ResetDocumentDictionary();
for (int i = 0; i < sub_langs_.size(); ++i) {
sub_langs_[i]->getDict().ResetDocumentDictionary();
}
}

const FCOORD& tesseract::Tesseract::reskew | ( |  | ) | const

inline

Definition at line 156 of file tesseractclass.h.

{
return reskew_;
}

bool tesseract::Tesseract::RetryWithLanguage | ( | WERD_RES * | word,
|  | BLOCK * | block,
|  | ROW * | row,
|  | WordRecognizer | recognizer
| ) |  |

Definition at line 756 of file control.cpp.

{
if (classify_debug_level || cube_debug_level) {
tprintf("Retrying word using lang %s, oem %d\n",
lang.string(), static_cast<int>(tessedit_ocr_engine_mode));
}
// Setup a trial WERD_RES in which to classify.
WERD_RES lang_word;
lang_word.InitForRetryRecognition(*word);
// Run the recognizer on the word.
// Initial version is a bit of a hack based on better certainty and rating
// (to reduce false positives from cube) or a dictionary vs non-dictionary
// word.
(this->*recognizer)(block, row, &lang_word);
bool new_is_better = NewWordBetter(*word, lang_word);
if (classify_debug_level || cube_debug_level) {
if (lang_word.best_choice == NULL) {
tprintf("New result %s better:%s\n",
new_is_better ? "IS" : "NOT");
} else {
tprintf("New result %s better:%s, r=%g, c=%g\n",
new_is_better ? "IS" : "NOT",
lang_word.best_choice->unichar_string().string(),
lang_word.best_choice->rating(),
lang_word.best_choice->certainty());
}
}
if (new_is_better) {
word->ConsumeWordResults(&lang_word);
}
return new_is_better;
}

bool tesseract::Tesseract::right_to_left | ( |  | ) | const

inline

Definition at line 213 of file tesseractclass.h.

{
return right_to_left_;
}

void tesseract::Tesseract::run_cube_combiner | ( | PAGE_RES * | page_res | ) |

Definition at line 241 of file cube_control.cpp.

{
if (page_res == NULL || tess_cube_combiner_ == NULL)
return;
PAGE_RES_IT page_res_it(page_res);
// Iterate through the word results and call cube on each word.
for (page_res_it.restart_page(); page_res_it.word () != NULL;
page_res_it.forward()) {
WERD_RES* word = page_res_it.word();
// Skip cube entirely if tesseract's certainty is greater than threshold.
int combiner_run_thresh = convert_prob_to_tess_certainty(
cube_cntxt_->Params()->CombinerRunThresh());
if (word->best_choice->certainty() >= combiner_run_thresh) {
continue;
}
// Use the same language as Tesseract used for the word.
Tesseract* lang_tess = word->tesseract;
// Setup a trial WERD_RES in which to classify with cube.
WERD_RES cube_word;
cube_word.InitForRetryRecognition(*word);
CubeObject *cube_obj = lang_tess->cube_recognize_word(
page_res_it.block()->block, &cube_word);
if (cube_obj != NULL)
lang_tess->cube_combine_word(cube_obj, &cube_word, word);
delete cube_obj;
}
}

bool tesseract::Tesseract::RunOldFixXht | ( | WERD_RES * | word,
|  | BLOCK * | block,
|  | ROW * | row
| ) |  |

inT16 tesseract::Tesseract::safe_dict_word | ( | const WERD_RES * | werd_res | ) |

Definition at line 786 of file reject.cpp.

{
const WERD_CHOICE &word = *werd_res->best_choice;
int dict_word_type = werd_res->tesseract->dict_word(word);
return dict_word_type == DOC_DAWG_PERM ? 0 : dict_word_type;
}

Pix* tesseract::Tesseract::scaled_color | ( |  | ) | const

inline

Definition at line 196 of file tesseractclass.h.

{
return scaled_color_;
}

int tesseract::Tesseract::scaled_factor | ( |  | ) | const

inline

Definition at line 199 of file tesseractclass.h.

{
return scaled_factor_;
}

void tesseract::Tesseract::SearchForText | ( | const GenericVector< BLOB_CHOICE_LIST * > * | choices,
|  | int | choices_pos,
|  | int | choices_length,
|  | const GenericVector< UNICHAR_ID > & | target_text,
|  | int | text_index,
|  | float | rating,
|  | GenericVector< int > * | segmentation,
|  | float * | best_rating,
|  | GenericVector< int > * | best_segmentation
| ) |  |

Definition at line 625 of file applybox.cpp.

{
const UnicharAmbigsVector& table = getDict().getUnicharAmbigs().dang_ambigs();
for (int length = 1; length <= choices[choices_pos].size(); ++length) {
// Rating of matching choice or worst choice if no match.
float choice_rating = 0.0f;
// Find the corresponding best BLOB_CHOICE.
BLOB_CHOICE_IT choice_it(choices[choices_pos][length - 1]);
for (choice_it.mark_cycle_pt(); !choice_it.cycled_list();
choice_it.forward()) {
BLOB_CHOICE* choice = choice_it.data();
choice_rating = choice->rating();
UNICHAR_ID class_id = choice->unichar_id();
if (class_id == target_text[text_index]) {
break;
}
// Search ambigs table.
if (class_id < table.size() && table[class_id] != NULL) {
AmbigSpec_IT spec_it(table[class_id]);
for (spec_it.mark_cycle_pt(); !spec_it.cycled_list();
spec_it.forward()) {
const AmbigSpec *ambig_spec = spec_it.data();
// We'll only do 1-1.
if (ambig_spec->wrong_ngram[1] == INVALID_UNICHAR_ID &&
ambig_spec->correct_ngram_id == target_text[text_index])
break;
}
if (!spec_it.cycled_list())
break; // Found an ambig.
}
}
if (choice_it.cycled_list())
continue; // No match.
segmentation->push_back(length);
if (choices_pos + length == choices_length &&
text_index + 1 == target_text.size()) {
// This is a complete match. If the rating is good record a new best.
if (applybox_debug > 2) {
tprintf("Complete match, rating = %g, best=%g, seglength=%d, best=%d\n",
rating + choice_rating, *best_rating, segmentation->size(),
best_segmentation->size());
}
if (best_segmentation->empty() || rating + choice_rating < *best_rating) {
*best_segmentation = *segmentation;
*best_rating = rating + choice_rating;
}
} else if (choices_pos + length < choices_length &&
text_index + 1 < target_text.size()) {
if (applybox_debug > 3) {
tprintf("Match found for %d=%s:%s, at %d+%d, recursing...\n",
target_text[text_index],
unicharset.id_to_unichar(target_text[text_index]),
choice_it.data()->unichar_id() == target_text[text_index]
? "Match" : "Ambig",
choices_pos, length);
}
SearchForText(choices, choices_pos + length, choices_length, target_text,
text_index + 1, rating + choice_rating, segmentation,
best_rating, best_segmentation);
if (applybox_debug > 3) {
tprintf("End recursion for %d=%s\n", target_text[text_index],
unicharset.id_to_unichar(target_text[text_index]));
}
}
segmentation->truncate(segmentation->size() - 1);
}
}

int tesseract::Tesseract::SegmentPage | ( | const STRING * | input_file,
|  | BLOCK_LIST * | blocks,
|  | Tesseract * | osd_tess,
|  | OSResults * | osr
| ) |  |

Segment the page according to the current value of tessedit_pageseg_mode. pix_binary_ is used as the source image and should not be NULL. On return the blocks list owns all the constructed page layout.

Definition at line 107 of file pagesegmain.cpp.

{
ASSERT_HOST(pix_binary_ != NULL);
int width = pixGetWidth(pix_binary_);
int height = pixGetHeight(pix_binary_);
// Get page segmentation mode.
PageSegMode pageseg_mode = static_cast<PageSegMode>(
static_cast<int>(tessedit_pageseg_mode));
// If a UNLV zone file can be found, use that instead of segmentation.
if (!PSM_COL_FIND_ENABLED(pageseg_mode) &&
input_file != NULL && input_file->length() > 0) {
STRING name = *input_file;
const char* lastdot = strrchr(name.string(), '.');
if (lastdot != NULL)
name[lastdot - name.string()] = '\0';
read_unlv_file(name, width, height, blocks);
}
if (blocks->empty()) {
// No UNLV file present. Work according to the PageSegMode.
// First make a single block covering the whole image.
BLOCK_IT block_it(blocks);
BLOCK* block = new BLOCK("", TRUE, 0, 0, 0, 0, width, height);
block->set_right_to_left(right_to_left());
block_it.add_to_end(block);
} else {
// UNLV file present. Use PSM_SINGLE_BLOCK.
pageseg_mode = PSM_SINGLE_BLOCK;
}
bool single_column = !PSM_COL_FIND_ENABLED(pageseg_mode);
bool osd_enabled = PSM_OSD_ENABLED(pageseg_mode);
bool osd_only = pageseg_mode == PSM_OSD_ONLY;
int auto_page_seg_ret_val = 0;
TO_BLOCK_LIST to_blocks;
if (osd_enabled || PSM_BLOCK_FIND_ENABLED(pageseg_mode)) {
auto_page_seg_ret_val =
AutoPageSeg(single_column, osd_enabled, osd_only,
blocks, &to_blocks, osd_tess, osr);
if (osd_only)
return auto_page_seg_ret_val;
// To create blobs from the image region bounds uncomment this line:
// to_blocks.clear(); // Uncomment to go back to the old mode.
} else {
deskew_ = FCOORD(1.0f, 0.0f);
reskew_ = FCOORD(1.0f, 0.0f);
if (pageseg_mode == PSM_CIRCLE_WORD) {
Pix* pixcleaned = RemoveEnclosingCircle(pix_binary_);
if (pixcleaned != NULL) {
pixDestroy(&pix_binary_);
pix_binary_ = pixcleaned;
}
}
}
if (auto_page_seg_ret_val < 0) {
return -1;
}
if (blocks->empty()) {
if (textord_debug_tabfind)
tprintf("Empty page\n");
return 0; // AutoPageSeg found an empty page.
}
textord_.TextordPage(pageseg_mode, width, height, pix_binary_,
blocks, &to_blocks);
return auto_page_seg_ret_val;
}

void tesseract::Tesseract::set_done | ( | WERD_RES * | word,
|  | inT16 | pass
| ) |  |

void tesseract::Tesseract::set_pix_grey | ( | Pix * | grey_pix | ) |

inline

Definition at line 170 of file tesseractclass.h.

{
pixDestroy(&pix_grey_);
pix_grey_ = grey_pix;
}

void tesseract::Tesseract::set_source_resolution | ( | int | ppi | ) |

inline

Definition at line 187 of file tesseractclass.h.

{
source_resolution_ = ppi;
}

void tesseract::Tesseract::set_unlv_suspects | ( | WERD_RES * | word | ) |

Definition at line 371 of file output.cpp.

{
int len = word_res->reject_map.length();
const WERD_CHOICE &word = *(word_res->best_choice);
const UNICHARSET &uchset = *word.unicharset();
int i;
float rating_per_ch;
if (suspect_level == 0) {
for (i = 0; i < len; i++) {
if (word_res->reject_map[i].rejected())
word_res->reject_map[i].setrej_minimal_rej_accept();
}
return;
}
if (suspect_level >= 3)
return; //Use defaults
/* NOW FOR LEVELS 1 and 2 Find some stuff to unreject*/
if (safe_dict_word(word_res) &&
(count_alphas(word) > suspect_short_words)) {
/* Unreject alphas in dictionary words */
for (i = 0; i < len; ++i) {
if (word_res->reject_map[i].rejected() &&
uchset.get_isalpha(word.unichar_id(i)))
word_res->reject_map[i].setrej_minimal_rej_accept();
}
}
rating_per_ch = word.rating() / word_res->reject_map.length();
if (rating_per_ch >= suspect_rating_per_ch)
return; //Dont touch bad ratings
if ((word_res->tess_accepted) || (rating_per_ch < suspect_accept_rating)) {
/* Unreject any Tess Acceptable word - but NOT tess reject chs*/
for (i = 0; i < len; ++i) {
if (word_res->reject_map[i].rejected() &&
(!uchset.eq(word.unichar_id(i), " ")))
word_res->reject_map[i].setrej_minimal_rej_accept();
}
}
for (i = 0; i < len; i++) {
if (word_res->reject_map[i].rejected()) {
if (word_res->reject_map[i].flag(R_DOC_REJ))
word_res->reject_map[i].setrej_minimal_rej_accept();
if (word_res->reject_map[i].flag(R_BLOCK_REJ))
word_res->reject_map[i].setrej_minimal_rej_accept();
if (word_res->reject_map[i].flag(R_ROW_REJ))
word_res->reject_map[i].setrej_minimal_rej_accept();
}
}
if (suspect_level == 2)
return;
if (!suspect_constrain_1Il ||
(word_res->reject_map.length() <= suspect_short_words)) {
for (i = 0; i < len; i++) {
if (word_res->reject_map[i].rejected()) {
if ((word_res->reject_map[i].flag(R_1IL_CONFLICT) ||
word_res->reject_map[i].flag(R_POSTNN_1IL)))
word_res->reject_map[i].setrej_minimal_rej_accept();
if (!suspect_constrain_1Il &&
word_res->reject_map[i].flag(R_MM_REJECT))
word_res->reject_map[i].setrej_minimal_rej_accept();
}
}
}
if (acceptable_word_string(*word_res->uch_set,
word.unichar_string().string(),
word.unichar_lengths().string()) !=
AC_UNACCEPTABLE ||
acceptable_number_string(word.unichar_string().string(),
word.unichar_lengths().string())) {
if (word_res->reject_map.length() > suspect_short_words) {
for (i = 0; i < len; i++) {
if (word_res->reject_map[i].rejected() &&
(!word_res->reject_map[i].perm_rejected() ||
word_res->reject_map[i].flag (R_1IL_CONFLICT) ||
word_res->reject_map[i].flag (R_POSTNN_1IL) ||
word_res->reject_map[i].flag (R_MM_REJECT))) {
word_res->reject_map[i].setrej_minimal_rej_accept();
}
}
}
}
}

void tesseract::Tesseract::set_word_fonts | ( | WERD_RES * | word,
|  | BLOB_CHOICE_LIST_CLIST * | blob_choices
| ) |  |

set_word_fonts

Get the fonts for the word.

Definition at line 1500 of file control.cpp.

{
if (blob_choices == NULL) return;
// Don't try to set the word fonts for a cube word, as the configs
// will be meaningless.
if (word->chopped_word == NULL) return;
inT32 index; // char id index
// character iterator
BLOB_CHOICE_LIST_C_IT char_it = blob_choices;
BLOB_CHOICE_IT choice_it; // choice iterator
int fontinfo_size = get_fontinfo_table().size();
int fontset_size = get_fontset_table().size();
if (fontinfo_size == 0 || fontset_size == 0) return;
STATS fonts(0, fontinfo_size); // font counters
word->italic = 0;
word->bold = 0;
if (!word->best_choice_fontinfo_ids.empty()) {
word->best_choice_fontinfo_ids.clear();
}
// Compute the modal font for the word
for (char_it.mark_cycle_pt(), index = 0;
!char_it.cycled_list(); ++index, char_it.forward()) {
UNICHAR_ID word_ch_id = word->best_choice->unichar_id(index);
choice_it.set_to_list(char_it.data());
if (tessedit_debug_fonts) {
tprintf("Examining fonts in %s\n",
word->best_choice->debug_string().string());
}
for (choice_it.mark_cycle_pt(); !choice_it.cycled_list();
choice_it.forward()) {
UNICHAR_ID blob_ch_id = choice_it.data()->unichar_id();
if (blob_ch_id == word_ch_id) {
if (tessedit_debug_fonts) {
tprintf("%s font %s (%d) font2 %s (%d)\n",
word->uch_set->id_to_unichar(blob_ch_id),
choice_it.data()->fontinfo_id() < 0 ? "unknown" :
fontinfo_table_.get(choice_it.data()->fontinfo_id()).name,
choice_it.data()->fontinfo_id(),
choice_it.data()->fontinfo_id2() < 0 ? "unknown" :
fontinfo_table_.get(choice_it.data()->fontinfo_id2()).name,
choice_it.data()->fontinfo_id2());
}
// 1st choice font gets 2 pts, 2nd choice 1 pt.
if (choice_it.data()->fontinfo_id() >= 0) {
fonts.add(choice_it.data()->fontinfo_id(), 2);
}
if (choice_it.data()->fontinfo_id2() >= 0) {
fonts.add(choice_it.data()->fontinfo_id2(), 1);
}
break;
}
}
}
inT16 font_id1, font_id2;
find_modal_font(&fonts, &font_id1, &word->fontinfo_id_count);
find_modal_font(&fonts, &font_id2, &word->fontinfo_id2_count);
word->fontinfo = font_id1 >= 0 ? &fontinfo_table_.get(font_id1) : NULL;
word->fontinfo2 = font_id2 >= 0 ? &fontinfo_table_.get(font_id2) : NULL;
// All the blobs get the word's best choice font.
for (int i = 0; i < word->best_choice->length(); ++i) {
word->best_choice_fontinfo_ids.push_back(font_id1);
}
if (word->fontinfo_id_count > 0) {
FontInfo fi = fontinfo_table_.get(font_id1);
if (tessedit_debug_fonts) {
if (word->fontinfo_id2_count > 0) {
tprintf("Word modal font=%s, score=%d, 2nd choice %s/%d\n",
fi.name, word->fontinfo_id_count,
fontinfo_table_.get(font_id2).name,
word->fontinfo_id2_count);
} else {
tprintf("Word modal font=%s, score=%d. No 2nd choice\n",
fi.name, word->fontinfo_id_count);
}
}
// 1st choices got 2 pts, so we need to halve the score for the mode.
word->italic = (fi.is_italic() ? 1 : -1) * (word->fontinfo_id_count + 1) / 2;
word->bold = (fi.is_bold() ? 1 : -1) * (word->fontinfo_id_count + 1) / 2;
}
}

void tesseract::Tesseract::SetBlackAndWhitelist | ( |  | ) |

Definition at line 448 of file tesseractclass.cpp.

{
// Set the white and blacklists (if any)
unicharset.set_black_and_whitelist(tessedit_char_blacklist.string(),
tessedit_char_whitelist.string());
// Black and white lists should apply to all loaded classifiers.
for (int i = 0; i < sub_langs_.size(); ++i) {
sub_langs_[i]->unicharset.set_black_and_whitelist(
tessedit_char_blacklist.string(), tessedit_char_whitelist.string());
}
}

void tesseract::Tesseract::SetEquationDetect | ( | EquationDetect * | detector | ) |

Definition at line 427 of file tesseractclass.cpp.

{
equ_detect_ = detector;
equ_detect_->SetLangTesseract(this);
}

void tesseract::Tesseract::SetScaledColor | ( | int | factor,
|  | Pix * | color
| ) |  |

inline

Definition at line 202 of file tesseractclass.h.

{
scaled_factor_ = factor;
scaled_color_ = color;
}

PAGE_RES * tesseract::Tesseract::SetupApplyBoxes | ( | const GenericVector< TBOX > & | boxes,
|  | BLOCK_LIST * | block_list
| ) |  |

Definition at line 197 of file applybox.cpp.

{
double median_xheight = MedianXHeight(block_list);
double max_deviation = kMaxXHeightDeviationFraction * median_xheight;
// Strip all fuzzy space markers to simplify the PAGE_RES.
BLOCK_IT b_it(block_list);
for (b_it.mark_cycle_pt(); !b_it.cycled_list(); b_it.forward()) {
BLOCK* block = b_it.data();
ROW_IT r_it(block->row_list());
for (r_it.mark_cycle_pt(); !r_it.cycled_list(); r_it.forward ()) {
ROW* row = r_it.data();
float diff = fabs(row->x_height() - median_xheight);
if (diff > max_deviation) {
if (applybox_debug) {
tprintf("row xheight=%g, but median xheight = %g\n",
row->x_height(), median_xheight);
}
row->set_x_height(static_cast<float>(median_xheight));
}
WERD_IT w_it(row->word_list());
for (w_it.mark_cycle_pt(); !w_it.cycled_list(); w_it.forward()) {
WERD* word = w_it.data();
if (word->cblob_list()->empty()) {
delete w_it.extract();
} else {
word->set_flag(W_FUZZY_SP, false);
word->set_flag(W_FUZZY_NON, false);
}
}
}
}
PAGE_RES* page_res = new PAGE_RES(block_list, NULL);
PAGE_RES_IT pr_it(page_res);
WERD_RES* word_res;
while ((word_res = pr_it.word()) != NULL) {
MaximallyChopWord(boxes, pr_it.block()->block,
pr_it.row()->row, word_res);
pr_it.forward();
}
return page_res;
}

ColumnFinder * tesseract::Tesseract::SetupPageSegAndDetectOrientation | ( | bool | single_column,
|  | bool | osd,
|  | bool | only_osd,
|  | BLOCK_LIST * | blocks,
|  | Tesseract * | osd_tess,
|  | OSResults * | osr,
|  | TO_BLOCK_LIST * | to_blocks,
|  | Pix ** | photo_mask_pix,
|  | Pix ** | music_mask_pix
| ) |  |

Sets up auto page segmentation, determines the orientation, and corrects it. Somewhat arbitrary chunk of functionality, factored out of AutoPageSeg to facilitate testing. photo_mask_pix is a pointer to a NULL pointer that will be filled on return with the leptonica photo mask, which must be pixDestroyed by the caller. to_blocks is an empty list that will be filled with (usually a single) block that is used during layout analysis. This ugly API is required because of the possibility of a unlv zone file. TODO(rays) clean this up. See AutoPageSeg for other arguments. The returned ColumnFinder must be deleted after use.

Definition at line 281 of file pagesegmain.cpp.

{
int vertical_x = 0;
int vertical_y = 1;
TabVector_LIST v_lines;
TabVector_LIST h_lines;
ICOORD bleft(0, 0);
ASSERT_HOST(pix_binary_ != NULL);
if (tessedit_dump_pageseg_images) {
pixWrite("tessinput.png", pix_binary_, IFF_PNG);
}
// Leptonica is used to find the rule/separator lines in the input.
LineFinder::FindAndRemoveLines(source_resolution_,
textord_tabfind_show_vlines, pix_binary_,
&vertical_x, &vertical_y, music_mask_pix,
&v_lines, &h_lines);
if (tessedit_dump_pageseg_images)
pixWrite("tessnolines.png", pix_binary_, IFF_PNG);
// Leptonica is used to find a mask of the photo regions in the input.
*photo_mask_pix = ImageFind::FindImages(pix_binary_);
if (tessedit_dump_pageseg_images)
pixWrite("tessnoimages.png", pix_binary_, IFF_PNG);
if (single_column)
v_lines.clear();
// The rest of the algorithm uses the usual connected components.
textord_.find_components(pix_binary_, blocks, to_blocks);
TO_BLOCK_IT to_block_it(to_blocks);
// There must be exactly one input block.
// TODO(rays) handle new textline finding with a UNLV zone file.
ASSERT_HOST(to_blocks->singleton());
TO_BLOCK* to_block = to_block_it.data();
TBOX blkbox = to_block->block->bounding_box();
ColumnFinder* finder = NULL;
if (to_block->line_size >= 2) {
finder = new ColumnFinder(static_cast<int>(to_block->line_size),
blkbox.botleft(), blkbox.topright(),
source_resolution_,
&v_lines, &h_lines, vertical_x, vertical_y);
finder->SetupAndFilterNoise(*photo_mask_pix, to_block);
if (equ_detect_) {
equ_detect_->LabelSpecialText(to_block);
}
BLOBNBOX_CLIST osd_blobs;
// osd_orientation is the number of 90 degree rotations to make the
// characters upright. (See osdetect.h for precise definition.)
// We want the text lines horizontal, (vertical text indicates vertical
// textlines) which may conflict (eg vertically written CJK).
int osd_orientation = 0;
bool vertical_text = finder->IsVerticallyAlignedText(to_block, &osd_blobs);
if (osd && osd_tess != NULL && osr != NULL) {
os_detect_blobs(&osd_blobs, osr, osd_tess);
if (only_osd) {
delete finder;
return NULL;
}
osd_orientation = osr->best_result.orientation_id;
double osd_score = osr->orientations[osd_orientation];
double osd_margin = min_orientation_margin * 2;
for (int i = 0; i < 4; ++i) {
if (i != osd_orientation &&
osd_score - osr->orientations[i] < osd_margin) {
osd_margin = osd_score - osr->orientations[i];
}
}
if (osd_margin < min_orientation_margin) {
// The margin is weak.
int best_script_id = osr->best_result.script_id;
bool cjk = (best_script_id == osd_tess->unicharset.han_sid()) ||
(best_script_id == osd_tess->unicharset.hiragana_sid()) ||
(best_script_id == osd_tess->unicharset.katakana_sid());
if (!cjk && !vertical_text && osd_orientation == 2) {
// upside down latin text is improbable with such a weak margin.
tprintf("OSD: Weak margin (%.2f), horiz textlines, not CJK: "
"Don't rotate.\n", osd_margin);
osd_orientation = 0;
} else {
tprintf("OSD: Weak margin (%.2f) for %d blob text block, "
"but using orientation anyway: %d\n",
osd_blobs.length(), osd_margin, osd_orientation);
}
}
}
osd_blobs.shallow_clear();
finder->CorrectOrientation(to_block, vertical_text, osd_orientation);
}
return finder;
}

void tesseract::Tesseract::SetupUniversalFontIds | ( |  | ) |

Definition at line 399 of file tessedit.cpp.

{
// Note that we can get away with bitwise copying FontInfo in
// all_fonts, as it is a temporary structure and we avoid setting the
// delete callback.
UnicityTable<FontInfo> all_fonts;
all_fonts.set_compare_callback(NewPermanentTessCallback(CompareFontInfo));
// Create the universal ID table.
CollectFonts(get_fontinfo_table(), &all_fonts);
for (int i = 0; i < sub_langs_.size(); ++i) {
CollectFonts(sub_langs_[i]->get_fontinfo_table(), &all_fonts);
}
// Assign ids from the table to each font table.
AssignIds(all_fonts, &get_fontinfo_table());
for (int i = 0; i < sub_langs_.size(); ++i) {
AssignIds(all_fonts, &sub_langs_[i]->get_fontinfo_table());
}
font_table_size_ = all_fonts.size();
}

void tesseract::Tesseract::SetupWordScripts | ( | BLOCK_LIST * | blocks | ) |

int tesseract::Tesseract::source_resolution | ( |  | ) | const

inline

Definition at line 184 of file tesseractclass.h.

{
return source_resolution_;
}

void tesseract::Tesseract::split_and_recog_word | ( | WERD_RES * | word,
|  | BLOB_CHOICE_LIST_CLIST * | blob_choices
| ) |  |

Definition at line 177 of file tfacepp.cpp.

{
// Find the biggest blob gap in the chopped_word.
int bestgap = -MAX_INT32;
TPOINT best_split_pt;
TBLOB* best_end = NULL;
TBLOB* prev_blob = NULL;
for (TBLOB* blob = word->chopped_word->blobs; blob != NULL;
blob = blob->next) {
if (prev_blob != NULL) {
TBOX prev_box = prev_blob->bounding_box();
TBOX blob_box = blob->bounding_box();
int gap = blob_box.left() - prev_box.right();
if (gap > bestgap) {
bestgap = gap;
best_end = prev_blob;
best_split_pt.x = (prev_box.right() + blob_box.left()) / 2;
best_split_pt.y = (prev_box.top() + prev_box.bottom() +
blob_box.top() + blob_box.bottom()) / 4;
}
}
prev_blob = blob;
}
ASSERT_HOST(best_end != NULL);
ASSERT_HOST(best_end->next != NULL);
// Make a copy of the word to put the 2nd half in.
WERD_RES* word2 = new WERD_RES(*word);
// Blow away the copied chopped_word, as we want to work with the blobs
// from the input chopped_word so the seam_arrays can be merged.
delete word2->chopped_word;
word2->chopped_word = new TWERD;
word2->chopped_word->blobs = best_end->next;
best_end->next = NULL;
// Make a new seamarray on both words.
free_seam_list(word->seam_array);
word->seam_array = start_seam_list(word->chopped_word->blobs);
word2->seam_array = start_seam_list(word2->chopped_word->blobs);
BlamerBundle *orig_bb = word->blamer_bundle;
STRING blamer_debug;
// Try to adjust truth information.
if (orig_bb != NULL) {
// Find truth boxes that correspond to the split in the blobs.
int b;
int begin2_truth_index = -1;
if (orig_bb->incorrect_result_reason != IRR_NO_TRUTH &&
orig_bb->truth_has_char_boxes) {
int end1_x = best_end->bounding_box().right();
int begin2_x = word2->chopped_word->blobs->bounding_box().left();
blamer_debug = "Looking for truth split at";
blamer_debug.add_str_int(" end1_x ", end1_x);
blamer_debug.add_str_int(" begin2_x ", begin2_x);
blamer_debug += "\nnorm_truth_word boxes:\n";
if (orig_bb->norm_truth_word.length() > 1) {
orig_bb->norm_truth_word.BlobBox(0).append_debug(&blamer_debug);
for (b = 1; b < orig_bb->norm_truth_word.length(); ++b) {
orig_bb->norm_truth_word.BlobBox(b).append_debug(&blamer_debug);
if ((abs(end1_x - orig_bb->norm_truth_word.BlobBox(b-1).right()) <
orig_bb->norm_box_tolerance) &&
(abs(begin2_x - orig_bb->norm_truth_word.BlobBox(b).left()) <
orig_bb->norm_box_tolerance)) {
begin2_truth_index = b;
blamer_debug += "Split found\n";
break;
}
}
}
}
// Populate truth information in word and word2 with the first and second
// part of the original truth.
word->blamer_bundle = new BlamerBundle();
word2->blamer_bundle = new BlamerBundle();
if (begin2_truth_index > 0) {
word->blamer_bundle->truth_has_char_boxes = true;
word->blamer_bundle->norm_box_tolerance = orig_bb->norm_box_tolerance;
word2->blamer_bundle->truth_has_char_boxes = true;
word2->blamer_bundle->norm_box_tolerance = orig_bb->norm_box_tolerance;
BlamerBundle *curr_bb = word->blamer_bundle;
for (b = 0; b < orig_bb->norm_truth_word.length(); ++b) {
if (b == begin2_truth_index) curr_bb = word2->blamer_bundle;
curr_bb->norm_truth_word.InsertBox(
b, orig_bb->norm_truth_word.BlobBox(b));
curr_bb->truth_word.InsertBox(b, orig_bb->truth_word.BlobBox(b));
curr_bb->truth_text.push_back(orig_bb->truth_text[b]);
}
} else if (orig_bb->incorrect_result_reason == IRR_NO_TRUTH) {
word->blamer_bundle->incorrect_result_reason = IRR_NO_TRUTH;
word2->blamer_bundle->incorrect_result_reason = IRR_NO_TRUTH;
} else {
blamer_debug += "Truth split not found";
blamer_debug += orig_bb->truth_has_char_boxes ?
"\n" : " (no truth char boxes)\n";
word->blamer_bundle->SetBlame(IRR_NO_TRUTH_SPLIT, blamer_debug,
NULL, wordrec_debug_blamer);
word2->blamer_bundle->SetBlame(IRR_NO_TRUTH_SPLIT, blamer_debug,
NULL, wordrec_debug_blamer);
}
}
// Recognize the first part of the word.
recog_word_recursive(word, blob_choices);
// Recognize the second part of the word.
recog_word_recursive(word2, blob_choices);
// Tack the word2 outputs onto the end of the word outputs.
// New blobs might have appeared on the end of word1.
for (best_end = word->chopped_word->blobs; best_end->next != NULL;
best_end = best_end->next);
best_end->next = word2->chopped_word->blobs;
TBLOB* blob;
for (blob = word->rebuild_word->blobs; blob->next != NULL; blob = blob->next);
blob->next = word2->rebuild_word->blobs;
word2->chopped_word->blobs = NULL;
word2->rebuild_word->blobs = NULL;
// Copy the seams onto the end of the word1 seam_array.
// Since the seam list is one element short, an empty seam marking the
// end of the last blob in the first word is needed first.
word->seam_array = add_seam(word->seam_array,
new_seam(0.0, best_split_pt, NULL, NULL, NULL));
for (int i = 0; i < array_count(word2->seam_array); ++i) {
SEAM* seam = reinterpret_cast<SEAM*>(array_value(word2->seam_array, i));
array_value(word2->seam_array, i) = NULL;
word->seam_array = add_seam(word->seam_array, seam);
}
word->best_state += word2->best_state;
// Append the word choices.
*word->best_choice += *word2->best_choice;
*word->raw_choice += *word2->raw_choice;
// How many alt choices from each should we try to get?
const int kAltsPerPiece = 2;
// When do we start throwing away extra alt choices?
const int kTooManyAltChoices = 100;
if (word->alt_choices.size() > 0 && word2->alt_choices.size() > 0) {
// Construct the cartesian product of the alt choices of word(1) and word2.
int num_first_alt_choices = word->alt_choices.size();
// Nota Bene: For the main loop here, we leave in place word1-only
// alt_choices in
// word->alt_choices[0] .. word_alt_choices[num_first_alt_choices - 1]
// These will get fused with the best choices for word2 below.
for (int j = 1; j < word2->alt_choices.size() &&
(j <= kAltsPerPiece || word->alt_choices.size() < kTooManyAltChoices);
j++) {
for (int i = 0; i < num_first_alt_choices &&
(i <= kAltsPerPiece ||
word->alt_choices.size() < kTooManyAltChoices);
i++) {
WERD_CHOICE *wc = new WERD_CHOICE(*word->alt_choices[i]);
*wc += *word2->alt_choices[j];
word->alt_choices.push_back(wc);
word->alt_states.push_back(GenericVector<int>());
GenericVector<int> &alt_state = word->alt_states.back();
alt_state += word->alt_states[i];
alt_state += word2->alt_states[j];
}
}
// Now that we've filled in as many alternates as we want, paste the best
// choice for word2 onto the original word alt_choices.
for (int i = 0; i < num_first_alt_choices; i++) {
*word->alt_choices[i] += *word2->alt_choices[0];
word->alt_states[i] += word2->alt_states[0];
}
}
// Restore the pointer to original blamer bundle and combine blamer
// information recorded in the splits.
if (orig_bb != NULL) {
IncorrectResultReason irr = orig_bb->incorrect_result_reason;
if (irr != IRR_NO_TRUTH_SPLIT) blamer_debug = "";
if (word->blamer_bundle->incorrect_result_reason != IRR_CORRECT &&
word->blamer_bundle->incorrect_result_reason != IRR_NO_TRUTH &&
word->blamer_bundle->incorrect_result_reason != IRR_NO_TRUTH_SPLIT) {
blamer_debug += "Blame from part 1: ";
blamer_debug += word->blamer_bundle->debug;
irr = word->blamer_bundle->incorrect_result_reason;
}
if (word2->blamer_bundle->incorrect_result_reason != IRR_CORRECT &&
word2->blamer_bundle->incorrect_result_reason != IRR_NO_TRUTH &&
word2->blamer_bundle->incorrect_result_reason != IRR_NO_TRUTH_SPLIT) {
blamer_debug += "Blame from part 2: ";
blamer_debug += word2->blamer_bundle->debug;
if (irr == IRR_CORRECT) {
irr = word2->blamer_bundle->incorrect_result_reason;
} else if (irr != word2->blamer_bundle->incorrect_result_reason) {
irr = IRR_UNKNOWN;
}
}
delete word->blamer_bundle;
word->blamer_bundle = orig_bb;
word->blamer_bundle->incorrect_result_reason = irr;
if (irr != IRR_CORRECT && irr != IRR_NO_TRUTH) {
word->blamer_bundle->SetBlame(irr, blamer_debug, NULL,
wordrec_debug_blamer);
}
}
delete word2;
}

BOOL8 tesseract::Tesseract::terrible_word_crunch | ( | WERD_RES * | word,
|  | GARBAGE_LEVEL | garbage_level
| ) |  |

Definition at line 510 of file docqual.cpp.

{
float rating_per_ch;
int adjusted_len;
int crunch_mode = 0;
if ((word->best_choice->unichar_string().length () == 0) ||
(strspn (word->best_choice->unichar_string().string(), " ") ==
word->best_choice->unichar_string().length ()))
crunch_mode = 1;
else {
adjusted_len = word->reject_map.length ();
if (adjusted_len > crunch_rating_max)
adjusted_len = crunch_rating_max;
rating_per_ch = word->best_choice->rating () / adjusted_len;
if (rating_per_ch > crunch_terrible_rating)
crunch_mode = 2;
else if (crunch_terrible_garbage && (garbage_level == G_TERRIBLE))
crunch_mode = 3;
else if ((word->best_choice->certainty () < crunch_poor_garbage_cert) &&
(garbage_level != G_OK))
crunch_mode = 4;
else if ((rating_per_ch > crunch_poor_garbage_rate) &&
(garbage_level != G_OK))
crunch_mode = 5;
}
if (crunch_mode > 0) {
if (crunch_debug > 2) {
tprintf ("Terrible_word_crunch (%d) on \"%s\"\n",
crunch_mode, word->best_choice->unichar_string().string());
}
return TRUE;
}
else
return FALSE;
}

BOOL8 tesseract::Tesseract::tess_acceptable_word | ( | WERD_CHOICE * | word_choice,
|  | WERD_CHOICE * | raw_choice
| ) |  |

Definition at line 102 of file tessbox.cpp.

{ // before context
return getDict().AcceptableResult(*word_choice);
}

void tesseract::Tesseract::tess_add_doc_word | ( | WERD_CHOICE * | word_choice | ) |

Definition at line 114 of file tessbox.cpp.

{
getDict().add_document_word(*word_choice);
}

void tesseract::Tesseract::tess_segment_pass1 | ( | WERD_RES * | word,
|  | BLOB_CHOICE_LIST_CLIST * | blob_choices
| ) |  |

Definition at line 42 of file tessbox.cpp.

{
int saved_enable_assoc = 0;
int saved_chop_enable = 0;
if (word->word->flag(W_DONT_CHOP)) {
saved_enable_assoc = wordrec_enable_assoc;
saved_chop_enable = chop_enable;
wordrec_enable_assoc.set_value(0);
chop_enable.set_value(0);
if (word->word->flag(W_REP_CHAR))
getDict().permute_only_top.set_value(true);
}
set_pass1();
recog_word(word, blob_choices);
if (word->word->flag(W_DONT_CHOP)) {
wordrec_enable_assoc.set_value(saved_enable_assoc);
chop_enable.set_value(saved_chop_enable);
getDict().permute_only_top.set_value(false);
}
}

void tesseract::Tesseract::tess_segment_pass2 | ( | WERD_RES * | word,
|  | BLOB_CHOICE_LIST_CLIST * | blob_choices
| ) |  |

Definition at line 73 of file tessbox.cpp.

{
int saved_enable_assoc = 0;
int saved_chop_enable = 0;
if (word->word->flag(W_DONT_CHOP)) {
saved_enable_assoc = wordrec_enable_assoc;
saved_chop_enable = chop_enable;
wordrec_enable_assoc.set_value(0);
chop_enable.set_value(0);
if (word->word->flag(W_REP_CHAR))
getDict().permute_only_top.set_value(true);
}
set_pass2();
recog_word(word, blob_choices);
if (word->word->flag(W_DONT_CHOP)) {
wordrec_enable_assoc.set_value(saved_enable_assoc);
chop_enable.set_value(saved_chop_enable);
getDict().permute_only_top.set_value(false);
}
}

BOOL8 tesseract::Tesseract::test_ambig_word | ( | WERD_RES * | word | ) |

Definition at line 687 of file reject.cpp.

{
BOOL8 ambig = FALSE;
if ((word->best_choice->permuter () == SYSTEM_DAWG_PERM) ||
(word->best_choice->permuter () == FREQ_DAWG_PERM) ||
(word->best_choice->permuter () == USER_DAWG_PERM)) {
ambig = !getDict().NoDangerousAmbig(
word->best_choice, NULL, false, NULL, NULL);
}
return ambig;
}

const Textord& tesseract::Tesseract::textord | ( |  | ) | const

inline

Definition at line 206 of file tesseractclass.h.

{
return textord_;
}

void tesseract::Tesseract::TidyUp | ( | PAGE_RES * | page_res | ) |

Definition at line 702 of file applybox.cpp.

{
int ok_blob_count = 0;
int bad_blob_count = 0;
int ok_word_count = 0;
int unlabelled_words = 0;
PAGE_RES_IT pr_it(page_res);
WERD_RES* word_res;
for (; (word_res = pr_it.word()) != NULL; pr_it.forward()) {
int ok_in_word = 0;
BLOB_CHOICE_LIST_VECTOR char_choices;
for (int i = word_res->correct_text.size() - 1; i >= 0; i--) {
if (word_res->correct_text[i].length() > 0) {
++ok_in_word;
}
// Since we only need a fake word_res->best_choice, the actual
// unichar_ids do not matter. Which is fortunate, since TidyUp()
// can be called while training Tesseract, at the stage where
// unicharset is not meaningful yet.
char_choices += fake_classify_blob(INVALID_UNICHAR_ID, 1.0, -1.0);
}
if (ok_in_word > 0) {
ok_blob_count += ok_in_word;
bad_blob_count += word_res->correct_text.size() - ok_in_word;
MakeWordChoice(char_choices, unicharset, word_res->best_choice);
} else {
++unlabelled_words;
if (applybox_debug > 0) {
tprintf("APPLY_BOXES: Unlabelled word at :");
word_res->word->bounding_box().print();
}
pr_it.DeleteCurrentWord();
}
char_choices.delete_data_pointers();
}
pr_it.restart_page();
for (; (word_res = pr_it.word()) != NULL; pr_it.forward()) {
// Denormalize back to a BoxWord.
word_res->RebuildBestState();
word_res->SetupBoxWord();
word_res->word->set_flag(W_BOL, pr_it.prev_row() != pr_it.row());
word_res->word->set_flag(W_EOL, pr_it.next_row() != pr_it.row());
}
if (applybox_debug > 0) {
tprintf(" Found %d good blobs.\n", ok_blob_count);
if (bad_blob_count > 0) {
tprintf(" Leaving %d unlabelled blobs in %d words.\n",
bad_blob_count, ok_word_count);
}
if (unlabelled_words > 0)
tprintf(" %d remaining unlabelled words deleted.\n", unlabelled_words);
}
}

void tesseract::Tesseract::tilde_crunch | ( | PAGE_RES_IT & | page_res_it | ) |

Definition at line 424 of file docqual.cpp.

{
WERD_RES *word;
GARBAGE_LEVEL garbage_level;
PAGE_RES_IT copy_it;
BOOL8 prev_potential_marked = FALSE;
BOOL8 found_terrible_word = FALSE;
BOOL8 ok_dict_word;
page_res_it.restart_page();
while (page_res_it.word() != NULL) {
POLY_BLOCK* pb = page_res_it.block()->block->poly_block();
if (pb != NULL && !pb->IsText()) {
page_res_it.forward();
continue;
}
word = page_res_it.word();
if (crunch_early_convert_bad_unlv_chs)
convert_bad_unlv_chs(word);
if (crunch_early_merge_tess_fails)
word->merge_tess_fails();
if (word->reject_map.accept_count () != 0) {
found_terrible_word = FALSE;
//Forget earlier potential crunches
prev_potential_marked = FALSE;
}
else {
ok_dict_word = safe_dict_word(word);
garbage_level = garbage_word (word, ok_dict_word);
if ((garbage_level != G_NEVER_CRUNCH) &&
(terrible_word_crunch (word, garbage_level))) {
if (crunch_debug > 0) {
tprintf ("T CRUNCHING: \"%s\"\n",
word->best_choice->unichar_string().string());
}
word->unlv_crunch_mode = CR_KEEP_SPACE;
if (prev_potential_marked) {
while (copy_it.word () != word) {
if (crunch_debug > 0) {
tprintf ("P1 CRUNCHING: \"%s\"\n",
copy_it.word()->best_choice->unichar_string().string());
}
copy_it.word ()->unlv_crunch_mode = CR_KEEP_SPACE;
copy_it.forward ();
}
prev_potential_marked = FALSE;
}
found_terrible_word = TRUE;
}
else if ((garbage_level != G_NEVER_CRUNCH) &&
(potential_word_crunch (word,
garbage_level, ok_dict_word))) {
if (found_terrible_word) {
if (crunch_debug > 0) {
tprintf ("P2 CRUNCHING: \"%s\"\n",
word->best_choice->unichar_string().string());
}
word->unlv_crunch_mode = CR_KEEP_SPACE;
}
else if (!prev_potential_marked) {
copy_it = page_res_it;
prev_potential_marked = TRUE;
if (crunch_debug > 1) {
tprintf ("P3 CRUNCHING: \"%s\"\n",
word->best_choice->unichar_string().string());
}
}
}
else {
found_terrible_word = FALSE;
//Forget earlier potential crunches
prev_potential_marked = FALSE;
if (crunch_debug > 2) {
tprintf ("NO CRUNCH: \"%s\"\n",
word->best_choice->unichar_string().string());
}
}
}
page_res_it.forward ();
}
}

void tesseract::Tesseract::tilde_delete | ( | PAGE_RES_IT & | page_res_it | ) |

Definition at line 596 of file docqual.cpp.

{
WERD_RES *word;
PAGE_RES_IT copy_it;
BOOL8 deleting_from_bol = FALSE;
BOOL8 marked_delete_point = FALSE;
inT16 debug_delete_mode;
CRUNCH_MODE delete_mode;
inT16 x_debug_delete_mode;
CRUNCH_MODE x_delete_mode;
page_res_it.restart_page();
while (page_res_it.word() != NULL) {
word = page_res_it.word();
delete_mode = word_deletable (word, debug_delete_mode);
if (delete_mode != CR_NONE) {
if (word->word->flag (W_BOL) || deleting_from_bol) {
if (crunch_debug > 0) {
tprintf ("BOL CRUNCH DELETING(%d): \"%s\"\n",
debug_delete_mode,
word->best_choice->unichar_string().string());
}
word->unlv_crunch_mode = delete_mode;
deleting_from_bol = TRUE;
} else if (word->word->flag(W_EOL)) {
if (marked_delete_point) {
while (copy_it.word() != word) {
x_delete_mode = word_deletable (copy_it.word (),
x_debug_delete_mode);
if (crunch_debug > 0) {
tprintf ("EOL CRUNCH DELETING(%d): \"%s\"\n",
x_debug_delete_mode,
copy_it.word()->best_choice->unichar_string().string());
}
copy_it.word ()->unlv_crunch_mode = x_delete_mode;
copy_it.forward ();
}
}
if (crunch_debug > 0) {
tprintf ("EOL CRUNCH DELETING(%d): \"%s\"\n",
debug_delete_mode,
word->best_choice->unichar_string().string());
}
word->unlv_crunch_mode = delete_mode;
deleting_from_bol = FALSE;
marked_delete_point = FALSE;
}
else {
if (!marked_delete_point) {
copy_it = page_res_it;
marked_delete_point = TRUE;
}
}
}
else {
deleting_from_bol = FALSE;
//Forget earlier potential crunches
marked_delete_point = FALSE;
}
/*
The following step has been left till now as the tess fails are used to
determine if the word is deletable.
*/
if (!crunch_early_merge_tess_fails)
word->merge_tess_fails();
page_res_it.forward ();
}
}

bool tesseract::Tesseract::TrainedXheightFix | ( | WERD_RES * | word,
|  | BLOCK * | block,
|  | ROW * | row
| ) |  |

Definition at line 976 of file control.cpp.

{
bool accept_new_x_ht = false;
int original_misfits = CountMisfitTops(word);
if (original_misfits == 0)
return false;
float new_x_ht = ComputeCompatibleXheight(word);
if (new_x_ht > 0.0f) {
WERD_RES new_x_ht_word(word->word);
if (word->blamer_bundle != NULL) {
new_x_ht_word.blamer_bundle = new BlamerBundle();
new_x_ht_word.blamer_bundle->CopyTruth(*(word->blamer_bundle));
}
new_x_ht_word.x_height = new_x_ht;
new_x_ht_word.caps_height = 0.0;
match_word_pass2(&new_x_ht_word, row, block);
if (!new_x_ht_word.tess_failed) {
int new_misfits = CountMisfitTops(&new_x_ht_word);
if (debug_x_ht_level >= 1) {
tprintf("Old misfits=%d with x-height %f, new=%d with x-height %f\n",
original_misfits, word->x_height,
new_misfits, new_x_ht);
tprintf("Old rating= %f, certainty=%f, new=%f, %f\n",
word->best_choice->rating(), word->best_choice->certainty(),
new_x_ht_word.best_choice->rating(),
new_x_ht_word.best_choice->certainty());
}
// The misfits must improve and either the rating or certainty.
accept_new_x_ht = new_misfits < original_misfits &&
(new_x_ht_word.best_choice->certainty() >
word->best_choice->certainty() ||
new_x_ht_word.best_choice->rating() <
word->best_choice->rating());
if (debug_x_ht_level >= 1) {
ReportXhtFixResult(accept_new_x_ht, new_x_ht, word, &new_x_ht_word);
}
}
if (accept_new_x_ht) {
word->ConsumeWordResults(&new_x_ht_word);
return true;
}
}
return false;
}

BOOL8 tesseract::Tesseract::uniformly_spaced | ( | WERD_RES * | word | ) |

Definition at line 515 of file fixspace.cpp.

{
TBOX box;
inT16 prev_right = -MAX_INT16;
inT16 gap;
inT16 max_gap = -MAX_INT16;
inT16 max_gap_count = 0;
STATS gap_stats(0, MAXSPACING);
BOOL8 result;
const ROW *row = word->denorm.row();
float max_non_space;
float normalised_max_nonspace;
inT16 i = 0;
inT16 offset = 0;
STRING punct_chars = "\"`',.:;";
for (TBLOB* blob = word->rebuild_word->blobs; blob != NULL;
blob = blob->next) {
box = blob->bounding_box();
if ((prev_right > -MAX_INT16) &&
(!punct_chars.contains(
word->best_choice->unichar_string()
[offset - word->best_choice->unichar_lengths()[i - 1]]) &&
!punct_chars.contains(
word->best_choice->unichar_string()[offset]))) {
gap = box.left() - prev_right;
if (gap < max_gap) {
gap_stats.add(gap, 1);
} else if (gap == max_gap) {
max_gap_count++;
} else {
if (max_gap_count > 0)
gap_stats.add(max_gap, max_gap_count);
max_gap = gap;
max_gap_count = 1;
}
}
prev_right = box.right();
offset += word->best_choice->unichar_lengths()[i++];
}
max_non_space = (row->space() + 3 * row->kern()) / 4;
normalised_max_nonspace = max_non_space * kBlnXHeight / row->x_height();
result = (
gap_stats.get_total() == 0 ||
max_gap <= normalised_max_nonspace ||
(gap_stats.get_total() > 2 && max_gap <= 2 * gap_stats.median()) ||
(gap_stats.get_total() <= 2 && max_gap <= 2 * gap_stats.mean()));
#ifndef SECURE_NAMES
if ((debug_fix_space_level > 1)) {
if (result) {
tprintf(
"ACCEPT SPACING FOR: \"%s\" norm_maxnon = %f max=%d maxcount=%d "
"total=%d mean=%f median=%f\n",
word->best_choice->unichar_string().string(), normalised_max_nonspace,
max_gap, max_gap_count, gap_stats.get_total(), gap_stats.mean(),
gap_stats.median());
} else {
tprintf(
"REJECT SPACING FOR: \"%s\" norm_maxnon = %f max=%d maxcount=%d "
"total=%d mean=%f median=%f\n",
word->best_choice->unichar_string().string(), normalised_max_nonspace,
max_gap, max_gap_count, gap_stats.get_total(), gap_stats.mean(),
gap_stats.median());
}
}
#endif
return result;
}

void tesseract::Tesseract::unrej_good_chs | ( | WERD_RES * | word,
|  | ROW * | row
| ) |  |

Definition at line 120 of file docqual.cpp.

{
if (word->bln_boxes == NULL ||
word->rebuild_word == NULL || word->rebuild_word->blobs == NULL)
return;
DocQualCallbacks cb(word);
word->bln_boxes->ProcessMatchedBlobs(
*word->rebuild_word,
NewPermanentTessCallback(&cb, &DocQualCallbacks::AcceptIfGoodQuality));
}

void tesseract::Tesseract::unrej_good_quality_words | ( | PAGE_RES_IT & | page_res_it | ) |

Definition at line 166 of file docqual.cpp.

{
WERD_RES *word;
ROW_RES *current_row;
BLOCK_RES *current_block;
int i;
page_res_it.restart_page ();
while (page_res_it.word () != NULL) {
check_debug_pt (page_res_it.word (), 100);
if (bland_unrej) {
word = page_res_it.word ();
for (i = 0; i < word->reject_map.length (); i++) {
if (word->reject_map[i].accept_if_good_quality ())
word->reject_map[i].setrej_quality_accept ();
}
page_res_it.forward ();
}
else if ((page_res_it.row ()->char_count > 0) &&
((page_res_it.row ()->rej_count /
(float) page_res_it.row ()->char_count) <=
quality_rowrej_pc)) {
word = page_res_it.word ();
if (word->reject_map.quality_recoverable_rejects() &&
(tessedit_unrej_any_wd ||
acceptable_word_string(*word->uch_set,
word->best_choice->unichar_string().string(),
word->best_choice->unichar_lengths().string())
!= AC_UNACCEPTABLE)) {
unrej_good_chs(word, page_res_it.row ()->row);
}
page_res_it.forward ();
}
else {
/* Skip to end of dodgy row */
current_row = page_res_it.row ();
while ((page_res_it.word () != NULL) &&
(page_res_it.row () == current_row))
page_res_it.forward ();
}
check_debug_pt (page_res_it.word (), 110);
}
page_res_it.restart_page ();
page_res_it.page_res->char_count = 0;
page_res_it.page_res->rej_count = 0;
current_block = NULL;
current_row = NULL;
while (page_res_it.word () != NULL) {
if (current_block != page_res_it.block ()) {
current_block = page_res_it.block ();
current_block->char_count = 0;
current_block->rej_count = 0;
}
if (current_row != page_res_it.row ()) {
current_row = page_res_it.row ();
current_row->char_count = 0;
current_row->rej_count = 0;
current_row->whole_word_rej_count = 0;
}
page_res_it.rej_stat_word ();
page_res_it.forward ();
}
}

BOOL8 tesseract::Tesseract::word_adaptable | ( | WERD_RES * | word,
|  | uinT16 | mode
| ) |  |

Definition at line 50 of file adaptions.cpp.

{
if (tessedit_adaption_debug) {
tprintf("Running word_adaptable() for %s rating %.4f certainty %.4f\n",
word->best_choice == NULL ? "" :
word->best_choice->unichar_string().string(),
word->best_choice->rating(), word->best_choice->certainty());
}
BOOL8 status = FALSE;
BITS16 flags(mode);
enum MODES
{
ADAPTABLE_WERD,
ACCEPTABLE_WERD,
CHECK_DAWGS,
CHECK_SPACES,
CHECK_ONE_ELL_CONFLICT,
CHECK_AMBIG_WERD
};
/*
0: NO adaption
*/
if (mode == 0) {
if (tessedit_adaption_debug) tprintf("adaption disabled\n");
return FALSE;
}
if (flags.bit (ADAPTABLE_WERD)) {
status |= word->tess_would_adapt; // result of Classify::AdaptableWord()
if (tessedit_adaption_debug && !status) {
tprintf("tess_would_adapt bit is false\n");
}
}
if (flags.bit (ACCEPTABLE_WERD)) {
status |= word->tess_accepted;
if (tessedit_adaption_debug && !status) {
tprintf("tess_accepted bit is false\n");
}
}
if (!status) { // If not set then
return FALSE; // ignore other checks
}
if (flags.bit (CHECK_DAWGS) &&
(word->best_choice->permuter () != SYSTEM_DAWG_PERM) &&
(word->best_choice->permuter () != FREQ_DAWG_PERM) &&
(word->best_choice->permuter () != USER_DAWG_PERM) &&
(word->best_choice->permuter () != NUMBER_PERM)) {
if (tessedit_adaption_debug) tprintf("word not in dawgs\n");
return FALSE;
}
if (flags.bit (CHECK_ONE_ELL_CONFLICT) && one_ell_conflict (word, FALSE)) {
if (tessedit_adaption_debug) tprintf("word has ell conflict\n");
return FALSE;
}
if (flags.bit (CHECK_SPACES) &&
(strchr(word->best_choice->unichar_string().string(), ' ') != NULL)) {
if (tessedit_adaption_debug) tprintf("word contains spaces\n");
return FALSE;
}
// if (flags.bit (CHECK_AMBIG_WERD) && test_ambig_word (word))
if (flags.bit (CHECK_AMBIG_WERD) &&
!getDict().NoDangerousAmbig(word->best_choice, NULL, false, NULL, NULL)) {
if (tessedit_adaption_debug) tprintf("word is ambiguous\n");
return FALSE;
}
// Do not adapt to words that are composed from fragments if
// tessedit_adapt_to_char_fragments is false.
if (!tessedit_adapt_to_char_fragments) {
const char *fragment_lengths = word->best_choice->fragment_lengths();
if (fragment_lengths != NULL && *fragment_lengths != '\0') {
for (int i = 0; i < word->best_choice->length(); ++i) {
if (fragment_lengths[i] > 1) {
if (tessedit_adaption_debug) tprintf("won't adapt to fragments\n");
return false; // found a character composed from fragments
}
}
}
}
if (tessedit_adaption_debug) {
tprintf("returning status %d\n", status);
}
return status;
}

BOOL8 tesseract::Tesseract::word_blank_and_set_display | ( | BLOCK * | block,
|  | ROW * | row,
|  | WERD_RES * | word_res
| ) |  |

Definition at line 711 of file pgedit.cpp.

{
word_res->word->bounding_box().plot(image_win, ScrollView::BLACK,
ScrollView::BLACK);
return word_set_display(block, row, word_res);
}

BOOL8 tesseract::Tesseract::word_bln_display | ( | BLOCK * | block,
|  | ROW * | row,
|  | WERD_RES * | word_res
| ) |  |

word_bln_display()

Normalize word and display in word window

Definition at line 724 of file pgedit.cpp.

{
TWERD *bln_word = word_res->chopped_word;
if (bln_word == NULL) {
word_res->SetupForTessRecognition(unicharset, this, BestPix(), false,
this->textord_use_cjk_fp_model,
row, block);
bln_word = word_res->chopped_word;
}
bln_word_window_handle()->Clear();
display_bln_lines(bln_word_window_handle(), ScrollView::CYAN,
1.0, 0.0f, -1000.0f, 1000.0f);
bln_word->plot(bln_word_window_handle());
bln_word_window_handle()->Update();
return TRUE;
}

inT16 tesseract::Tesseract::word_blob_quality | ( | WERD_RES * | word,
|  | ROW * | row
| ) |  |

Definition at line 68 of file docqual.cpp.

{
if (word->bln_boxes == NULL ||
word->rebuild_word == NULL || word->rebuild_word->blobs == NULL)
return 0;
DocQualCallbacks cb(word);
word->bln_boxes->ProcessMatchedBlobs(
*word->rebuild_word,
NewPermanentTessCallback(&cb, &DocQualCallbacks::CountMatchingBlobs));
return cb.match_count;
}

void tesseract::Tesseract::word_char_quality | ( | WERD_RES * | word,
|  | ROW * | row,
|  | inT16 * | match_count,
|  | inT16 * | accepted_match_count
| ) |  |

Definition at line 100 of file docqual.cpp.

{
if (word->bln_boxes == NULL ||
word->rebuild_word == NULL || word->rebuild_word->blobs == NULL)
return;
DocQualCallbacks cb(word);
word->bln_boxes->ProcessMatchedBlobs(
*word->rebuild_word,
NewPermanentTessCallback(&cb, &DocQualCallbacks::CountAcceptedBlobs));
*match_count = cb.match_count;
*accepted_match_count = cb.accepted_match_count;
}

BOOL8 tesseract::Tesseract::word_contains_non_1_digit | ( | const char * | word,
|  | const char * | word_lengths
| ) |  |

Definition at line 673 of file reject.cpp.

{
inT16 i;
inT16 offset;
for (i = 0, offset = 0; word[offset] != '\0'; offset += word_lengths[i++]) {
if (unicharset.get_isdigit (word + offset, word_lengths[i]) &&
(word_lengths[i] != 1 || word[offset] != '1'))
return TRUE;
}
return FALSE;
}

CRUNCH_MODE tesseract::Tesseract::word_deletable | ( | WERD_RES * | word,
|  | inT16 & | delete_mode
| ) |  |

Definition at line 904 of file docqual.cpp.

{
int word_len = word->reject_map.length ();
float rating_per_ch;
TBOX box; //BB of word
if (word->unlv_crunch_mode == CR_NONE) {
delete_mode = 0;
return CR_NONE;
}
if (word_len == 0) {
delete_mode = 1;
return CR_DELETE;
}
if (word->rebuild_word != NULL) {
// Cube leaves rebuild_word NULL.
box = word->rebuild_word->bounding_box();
if (box.height () < crunch_del_min_ht * kBlnXHeight) {
delete_mode = 4;
return CR_DELETE;
}
if (noise_outlines(word->rebuild_word)) {
delete_mode = 5;
return CR_DELETE;
}
}
if ((failure_count (word) * 1.5) > word_len) {
delete_mode = 2;
return CR_LOOSE_SPACE;
}
if (word->best_choice->certainty () < crunch_del_cert) {
delete_mode = 7;
return CR_LOOSE_SPACE;
}
rating_per_ch = word->best_choice->rating () / word_len;
if (rating_per_ch > crunch_del_rating) {
delete_mode = 8;
return CR_LOOSE_SPACE;
}
if (box.top () < kBlnBaselineOffset - crunch_del_low_word * kBlnXHeight) {
delete_mode = 9;
return CR_LOOSE_SPACE;
}
if (box.bottom () >
kBlnBaselineOffset + crunch_del_high_word * kBlnXHeight) {
delete_mode = 10;
return CR_LOOSE_SPACE;
}
if (box.height () > crunch_del_max_ht * kBlnXHeight) {
delete_mode = 11;
return CR_LOOSE_SPACE;
}
if (box.width () < crunch_del_min_width * kBlnXHeight) {
delete_mode = 3;
return CR_LOOSE_SPACE;
}
delete_mode = 0;
return CR_NONE;
}

BOOL8 tesseract::Tesseract::word_display | ( | BLOCK * | block,
|  | ROW * | row,
|  | WERD_RES * | word_res
| ) |  |

word_display() Word Processor

Display a word according to its display modes

Definition at line 747 of file pgedit.cpp.

{
WERD* word = word_res->word;
TBOX word_bb; // word bounding box
int word_height; // ht of word BB
BOOL8 displayed_something = FALSE;
float shift; // from bot left
C_BLOB_IT c_it; // cblob iterator
if (color_mode != CM_RAINBOW && word_res->box_word != NULL) {
BoxWord* box_word = word_res->box_word;
int length = box_word->length();
if (word_res->fontinfo == NULL) return false;
const FontInfo& font_info = *word_res->fontinfo;
for (int i = 0; i < length; ++i) {
ScrollView::Color color = ScrollView::GREEN;
switch (color_mode) {
case CM_SUBSCRIPT:
if (box_word->BlobPosition(i) == SP_SUBSCRIPT)
color = ScrollView::RED;
break;
case CM_SUPERSCRIPT:
if (box_word->BlobPosition(i) == SP_SUPERSCRIPT)
color = ScrollView::RED;
break;
case CM_ITALIC:
if (font_info.is_italic())
color = ScrollView::RED;
break;
case CM_BOLD:
if (font_info.is_bold())
color = ScrollView::RED;
break;
case CM_FIXEDPITCH:
if (font_info.is_fixed_pitch())
color = ScrollView::RED;
break;
case CM_SERIF:
if (font_info.is_serif())
color = ScrollView::RED;
break;
case CM_SMALLCAPS:
if (word_res->small_caps)
color = ScrollView::RED;
break;
case CM_DROPCAPS:
if (box_word->BlobPosition(i) == SP_DROPCAP)
color = ScrollView::RED;
break;
// TODO(rays) underline is currently completely unsupported.
case CM_UNDERLINE:
default:
break;
}
image_win->Pen(color);
TBOX box = box_word->BlobBox(i);
image_win->Rectangle(box.left(), box.bottom(), box.right(), box.top());
}
return true;
}
/*
Note the double coercions of(COLOUR)((inT32)editor_image_word_bb_color)
etc. are to keep the compiler happy.
*/
// display bounding box
if (word->display_flag(DF_BOX)) {
word->bounding_box().plot(image_win,
(ScrollView::Color)((inT32)
editor_image_word_bb_color),
(ScrollView::Color)((inT32)
editor_image_word_bb_color));
ScrollView::Color c = (ScrollView::Color)
((inT32) editor_image_blob_bb_color);
image_win->Pen(c);
c_it.set_to_list(word->cblob_list());
for (c_it.mark_cycle_pt(); !c_it.cycled_list(); c_it.forward())
c_it.data()->bounding_box().plot(image_win);
displayed_something = TRUE;
}
// display edge steps
if (word->display_flag(DF_EDGE_STEP)) { // edgesteps available
word->plot(image_win); // rainbow colors
displayed_something = TRUE;
}
// display poly approx
if (word->display_flag(DF_POLYGONAL)) {
// need to convert
TWERD* tword = TWERD::PolygonalCopy(word);
tword->plot(image_win);
delete tword;
displayed_something = TRUE;
}
// Display correct text and blamer information.
STRING text;
STRING blame;
if (word->display_flag(DF_TEXT) && word->text() != NULL) {
text = word->text();
}
if (word->display_flag(DF_BLAMER) &&
!(word_res->blamer_bundle != NULL &&
word_res->blamer_bundle->incorrect_result_reason == IRR_CORRECT)) {
text = "";
const BlamerBundle *blamer_bundle = word_res->blamer_bundle;
if (blamer_bundle == NULL) {
text += "NULL";
} else {
for (int i = 0; i < blamer_bundle->truth_text.length(); ++i) {
text += blamer_bundle->truth_text[i];
}
}
text += " -> ";
STRING best_choice_str;
if (word_res->best_choice == NULL) {
best_choice_str = "NULL";
} else {
word_res->best_choice->string_and_lengths(&best_choice_str, NULL);
}
text += best_choice_str;
IncorrectResultReason reason = (blamer_bundle == NULL) ?
IRR_PAGE_LAYOUT : blamer_bundle->incorrect_result_reason;
ASSERT_HOST(reason < IRR_NUM_REASONS)
blame += " [";
blame += BlamerBundle::IncorrectReasonName(reason);
blame += "]";
}
if (text.length() > 0) {
word_bb = word->bounding_box();
image_win->Pen(ScrollView::RED);
word_height = word_bb.height();
int text_height = 0.50 * word_height;
if (text_height > 20) text_height = 20;
image_win->TextAttributes("Arial", text_height, false, false, false);
shift = (word_height < word_bb.width()) ? 0.25 * word_height : 0.0f;
image_win->Text(word_bb.left() + shift,
word_bb.bottom() + 0.25 * word_height, text.string());
if (blame.length() > 0) {
image_win->Text(word_bb.left() + shift,
word_bb.bottom() + 0.25 * word_height - text_height,
blame.string());
}
displayed_something = TRUE;
}
if (!displayed_something) // display BBox anyway
word->bounding_box().plot(image_win,
(ScrollView::Color)((inT32) editor_image_word_bb_color),
(ScrollView::Color)((inT32)
editor_image_word_bb_color));
return TRUE;
}

BOOL8 tesseract::Tesseract::word_dumper | ( | BLOCK * | block,
|  | ROW * | row,
|  | WERD_RES * | word_res
| ) |  |

word_dumper()

Dump members to the debug window

Definition at line 908 of file pgedit.cpp.

{
if (block != NULL) {
tprintf("\nBlock data...\n");
block->print(NULL, FALSE);
}
tprintf("\nRow data...\n");
row->print(NULL);
tprintf("\nWord data...\n");
word_res->word->print();
if (word_res->blamer_bundle != NULL && wordrec_debug_blamer &&
word_res->blamer_bundle->incorrect_result_reason != IRR_CORRECT) {
tprintf("Current blamer debug: %s\n",
word_res->blamer_bundle->debug.string());
}
return TRUE;
}

inT16 tesseract::Tesseract::word_outline_errs | ( | WERD_RES * | word | ) |

Definition at line 80 of file docqual.cpp.

{
inT16 i = 0;
inT16 err_count = 0;
if (word->rebuild_word != NULL) {
TBLOB* blob = word->rebuild_word->blobs;
for (; blob != NULL; blob = blob->next) {
err_count += count_outline_errs(word->best_choice->unichar_string()[i],
blob->NumOutlines());
i++;
}
}
return err_count;
}

BOOL8 tesseract::Tesseract::word_set_display | ( | BLOCK * | block,
|  | ROW * | row,
|  | WERD_RES * | word_res
| ) |  |

word_set_display() Word processor

Display word according to current display mode settings

Definition at line 931 of file pgedit.cpp.

{
WERD* word = word_res->word;
word->set_display_flag(DF_BOX, word_display_mode.bit(DF_BOX));
word->set_display_flag(DF_TEXT, word_display_mode.bit(DF_TEXT));
word->set_display_flag(DF_POLYGONAL, word_display_mode.bit(DF_POLYGONAL));
word->set_display_flag(DF_EDGE_STEP, word_display_mode.bit(DF_EDGE_STEP));
word->set_display_flag(DF_BN_POLYGONAL,
word_display_mode.bit(DF_BN_POLYGONAL));
word->set_display_flag(DF_BLAMER, word_display_mode.bit(DF_BLAMER));
return word_display(block, row, word_res);
}

inT16 tesseract::Tesseract::worst_noise_blob | ( | WERD_RES * | word_res,
|  | float * | worst_noise_score
| ) |  |

Definition at line 764 of file fixspace.cpp.

{
float noise_score[512];
int i;
int min_noise_blob; // 1st contender
int max_noise_blob; // last contender
int non_noise_count;
int worst_noise_blob; // Worst blob
float small_limit = kBlnXHeight * fixsp_small_outlines_size;
float non_noise_limit = kBlnXHeight * 0.8;
if (word_res->rebuild_word == NULL)
return -1; // Can't handle cube words.
TBLOB* blob = word_res->rebuild_word->blobs;
// Normalised.
int blob_count = word_res->box_word->length();
ASSERT_HOST(blob_count <= 512);
if (blob_count < 5)
return -1; // too short to split
/* Get the noise scores for all blobs */
#ifndef SECURE_NAMES
if (debug_fix_space_level > 5)
tprintf("FP fixspace Noise metrics for \"%s\": ",
word_res->best_choice->unichar_string().string());
#endif
for (i = 0; i < blob_count && blob != NULL; i++, blob = blob->next) {
if (word_res->reject_map[i].accepted())
noise_score[i] = non_noise_limit;
else
noise_score[i] = blob_noise_score(blob);
if (debug_fix_space_level > 5)
tprintf("%1.1f ", noise_score[i]);
}
if (debug_fix_space_level > 5)
tprintf("\n");
/* Now find the worst one which is far enough away from the end of the word */
non_noise_count = 0;
for (i = 0; i < blob_count && non_noise_count < fixsp_non_noise_limit; i++) {
if (noise_score[i] >= non_noise_limit) {
non_noise_count++;
}
}
if (non_noise_count < fixsp_non_noise_limit)
return -1;
min_noise_blob = i;
non_noise_count = 0;
for (i = blob_count - 1; i >= 0 && non_noise_count < fixsp_non_noise_limit;
i--) {
if (noise_score[i] >= non_noise_limit) {
non_noise_count++;
}
}
if (non_noise_count < fixsp_non_noise_limit)
return -1;
max_noise_blob = i;
if (min_noise_blob > max_noise_blob)
return -1;
*worst_noise_score = small_limit;
worst_noise_blob = -1;
for (i = min_noise_blob; i <= max_noise_blob; i++) {
if (noise_score[i] < *worst_noise_score) {
worst_noise_blob = i;
*worst_noise_score = noise_score[i];
}
}
return worst_noise_blob;
}

void tesseract::Tesseract::write_results | ( | PAGE_RES_IT & | page_res_it,
|  | char | newline_type,
|  | BOOL8 | force_eol
| ) |  |

Definition at line 138 of file output.cpp.

{ // override tilde crunch?
WERD_RES *word = page_res_it.word();
const UNICHARSET &uchset = *word->uch_set;
STRING repetition_code;
const STRING *wordstr;
STRING wordstr_lengths;
int i;
char unrecognised = STRING (unrecognised_char)[0];
char ep_chars[32]; //Only for unlv_tilde_crunch
int ep_chars_index = 0;
char txt_chs[32]; //Only for unlv_tilde_crunch
char map_chs[32]; //Only for unlv_tilde_crunch
int txt_index = 0;
BOOL8 need_reject = FALSE;
UNICHAR_ID space = uchset.unichar_to_id(" ");
if ((word->unlv_crunch_mode != CR_NONE ||
word->best_choice->length() == 0) &&
!tessedit_zero_kelvin_rejection && !tessedit_word_for_word) {
if ((word->unlv_crunch_mode != CR_DELETE) &&
(!stats_.tilde_crunch_written ||
((word->unlv_crunch_mode == CR_KEEP_SPACE) &&
(word->word->space () > 0) &&
!word->word->flag (W_FUZZY_NON) &&
!word->word->flag (W_FUZZY_SP)))) {
if (!word->word->flag (W_BOL) &&
(word->word->space () > 0) &&
!word->word->flag (W_FUZZY_NON) &&
!word->word->flag (W_FUZZY_SP)) {
// Write a space to separate from preceeding good text.
txt_chs[txt_index] = ' ';
map_chs[txt_index++] = '1';
ep_chars[ep_chars_index++] = ' ';
stats_.last_char_was_tilde = false;
}
need_reject = TRUE;
}
if ((need_reject && !stats_.last_char_was_tilde) ||
(force_eol && stats_.write_results_empty_block)) {
/* Write a reject char - mark as rejected unless zero_rejection mode */
stats_.last_char_was_tilde = TRUE;
txt_chs[txt_index] = unrecognised;
if (tessedit_zero_rejection || (suspect_level == 0)) {
map_chs[txt_index++] = '1';
ep_chars[ep_chars_index++] = unrecognised;
}
else {
map_chs[txt_index++] = '0';
/*
The ep_choice string is a faked reject to allow newdiff to sync the
.etx with the .txt and .map files.
*/
ep_chars[ep_chars_index++] = CTRL_INSET; // escape code
//dummy reject
ep_chars[ep_chars_index++] = 1;
//dummy reject
ep_chars[ep_chars_index++] = 1;
//type
ep_chars[ep_chars_index++] = 2;
//dummy reject
ep_chars[ep_chars_index++] = 1;
//dummy reject
ep_chars[ep_chars_index++] = 1;
}
stats_.tilde_crunch_written = true;
stats_.last_char_was_newline = false;
stats_.write_results_empty_block = false;
}
if ((word->word->flag (W_EOL) && !stats_.last_char_was_newline) || force_eol) {
/* Add a new line output */
txt_chs[txt_index] = '\n';
map_chs[txt_index++] = '\n';
//end line
ep_chars[ep_chars_index++] = newline_type;
//Cos of the real newline
stats_.tilde_crunch_written = false;
stats_.last_char_was_newline = true;
stats_.last_char_was_tilde = false;
}
txt_chs[txt_index] = '\0';
map_chs[txt_index] = '\0';
ep_chars[ep_chars_index] = '\0'; // terminate string
word->ep_choice = new WERD_CHOICE(ep_chars, uchset);
if (force_eol)
stats_.write_results_empty_block = true;
return;
}
/* NORMAL PROCESSING of non tilde crunched words */
stats_.tilde_crunch_written = false;
if (newline_type)
stats_.last_char_was_newline = true;
else
stats_.last_char_was_newline = false;
stats_.write_results_empty_block = force_eol; // about to write a real word
if (unlv_tilde_crunching &&
stats_.last_char_was_tilde &&
(word->word->space() == 0) &&
!(word->word->flag(W_REP_CHAR) && tessedit_write_rep_codes) &&
(word->best_choice->unichar_id(0) == space)) {
/* Prevent adjacent tilde across words - we know that adjacent tildes within
words have been removed */
word->best_choice->remove_unichar_id(0);
if (word->best_choice->blob_choices() != NULL) {
BLOB_CHOICE_LIST_C_IT blob_choices_it(word->best_choice->blob_choices());
if (!blob_choices_it.empty()) delete blob_choices_it.extract();
}
word->reject_map.remove_pos (0);
word->box_word->DeleteBox(0);
}
if (newline_type ||
(word->word->flag (W_REP_CHAR) && tessedit_write_rep_codes))
stats_.last_char_was_tilde = false;
else {
if (word->reject_map.length () > 0) {
if (word->best_choice->unichar_id(word->reject_map.length() - 1) == space)
stats_.last_char_was_tilde = true;
else
stats_.last_char_was_tilde = false;
}
else if (word->word->space () > 0)
stats_.last_char_was_tilde = false;
/* else it is unchanged as there are no output chars */
}
ASSERT_HOST (word->best_choice->length() == word->reject_map.length());
set_unlv_suspects(word);
check_debug_pt (word, 120);
if (tessedit_rejection_debug) {
tprintf ("Dict word: \"%s\": %d\n",
word->best_choice->debug_string().string(),
dict_word(*(word->best_choice)));
}
if (word->word->flag (W_REP_CHAR) && tessedit_write_rep_codes) {
repetition_code = "|^~R";
wordstr_lengths = "\001\001\001\001";
repetition_code += uchset.id_to_unichar(get_rep_char(word));
wordstr_lengths += strlen(uchset.id_to_unichar(get_rep_char(word)));
wordstr = &repetition_code;
} else {
if (tessedit_zero_rejection) {
/* OVERRIDE ALL REJECTION MECHANISMS - ONLY REJECT TESS FAILURES */
for (i = 0; i < word->best_choice->length(); ++i) {
if (word->reject_map[i].rejected())
word->reject_map[i].setrej_minimal_rej_accept();
}
}
if (tessedit_minimal_rejection) {
/* OVERRIDE ALL REJECTION MECHANISMS - ONLY REJECT TESS FAILURES */
for (i = 0; i < word->best_choice->length(); ++i) {
if ((word->best_choice->unichar_id(i) != space) &&
word->reject_map[i].rejected())
word->reject_map[i].setrej_minimal_rej_accept();
}
}
}
}

## Member Data Documentation

int tesseract::Tesseract::applybox_debug = 1

"Debug level"

Definition at line 693 of file tesseractclass.h.

char* tesseract::Tesseract::applybox_exposure_pattern = ".exp"

"Exposure value follows this pattern in the image" " filename. The name of the image files are expected" " to be in the form [lang].[fontname].exp[num].tif"

Definition at line 698 of file tesseractclass.h.

bool tesseract::Tesseract::applybox_learn_chars_and_char_frags_mode = false

"Learn both character fragments (as is done in the" " special low exposure mode) as well as unfragmented" " characters."

Definition at line 702 of file tesseractclass.h.

bool tesseract::Tesseract::applybox_learn_ngrams_mode = false

"Each bounding box is assumed to contain ngrams. Only" " learn the ngrams whose outlines overlap horizontally."

Definition at line 705 of file tesseractclass.h.

int tesseract::Tesseract::applybox_page = 0

"Page number to apply boxes from"

Definition at line 694 of file tesseractclass.h.

int tesseract::Tesseract::bidi_debug = 0

"Debug level for BiDi"

Definition at line 692 of file tesseractclass.h.

bool tesseract::Tesseract::bland_unrej = false

"unrej potential with no chekcs"

Definition at line 787 of file tesseractclass.h.

char* tesseract::Tesseract::chs_leading_punct = "('`\""

"Leading punctuation"

Definition at line 725 of file tesseractclass.h.

char* tesseract::Tesseract::chs_trailing_punct1 = ").,;:?!"

"1st Trailing punctuation"

Definition at line 726 of file tesseractclass.h.

char* tesseract::Tesseract::chs_trailing_punct2 = ")'`\""

"2nd Trailing punctuation"

Definition at line 727 of file tesseractclass.h.

char* tesseract::Tesseract::conflict_set_I_l_1 = "Il1[]"

"Il1 conflict set"

Definition at line 878 of file tesseractclass.h.

bool tesseract::Tesseract::crunch_accept_ok = true

"Use acceptability in okstring"

Definition at line 814 of file tesseractclass.h.

int tesseract::Tesseract::crunch_debug = 0

"As it says"

Definition at line 823 of file tesseractclass.h.

double tesseract::Tesseract::crunch_del_cert = -10.0

"POTENTIAL crunch cert lt this"

Definition at line 803 of file tesseractclass.h.

double tesseract::Tesseract::crunch_del_high_word = 1.5

"Del if word gt xht x this above bl"

Definition at line 808 of file tesseractclass.h.

double tesseract::Tesseract::crunch_del_low_word = 0.5

"Del if word gt xht x this below bl"

Definition at line 809 of file tesseractclass.h.

double tesseract::Tesseract::crunch_del_max_ht = 3.0

"Del if word ht gt xht x this"

Definition at line 805 of file tesseractclass.h.

double tesseract::Tesseract::crunch_del_min_ht = 0.7

"Del if word ht lt xht x this"

Definition at line 804 of file tesseractclass.h.

double tesseract::Tesseract::crunch_del_min_width = 3.0

"Del if word width lt xht x this"

Definition at line 806 of file tesseractclass.h.

double tesseract::Tesseract::crunch_del_rating = 60

"POTENTIAL crunch rating lt this"

Definition at line 802 of file tesseractclass.h.

bool tesseract::Tesseract::crunch_early_convert_bad_unlv_chs = false

"Take out ~^ early?"

Definition at line 793 of file tesseractclass.h.

bool tesseract::Tesseract::crunch_early_merge_tess_fails = true

"Before word crunch?"

Definition at line 792 of file tesseractclass.h.

bool tesseract::Tesseract::crunch_include_numerals = false

"Fiddle alpha figures"

Definition at line 817 of file tesseractclass.h.

bool tesseract::Tesseract::crunch_leave_accept_strings = false

"Dont pot crunch sensible strings"

Definition at line 816 of file tesseractclass.h.

int tesseract::Tesseract::crunch_leave_lc_strings = 4

"Dont crunch words with long lower case strings"

Definition at line 819 of file tesseractclass.h.

bool tesseract::Tesseract::crunch_leave_ok_strings = true

"Dont touch sensible strings"

Definition at line 813 of file tesseractclass.h.

int tesseract::Tesseract::crunch_leave_uc_strings = 4

"Dont crunch words with long lower case strings"

Definition at line 821 of file tesseractclass.h.

int tesseract::Tesseract::crunch_long_repetitions = 3

"Crunch words with long repetitions"

Definition at line 822 of file tesseractclass.h.

double tesseract::Tesseract::crunch_poor_garbage_cert = -9.0

"crunch garbage cert lt this"

Definition at line 797 of file tesseractclass.h.

double tesseract::Tesseract::crunch_poor_garbage_rate = 60

"crunch garbage rating lt this"

Definition at line 798 of file tesseractclass.h.

bool tesseract::Tesseract::crunch_pot_garbage = true

"POTENTIAL crunch garbage"

Definition at line 801 of file tesseractclass.h.

int tesseract::Tesseract::crunch_pot_indicators = 1

"How many potential indicators needed"

Definition at line 812 of file tesseractclass.h.

double tesseract::Tesseract::crunch_pot_poor_cert = -8.0

"POTENTIAL crunch cert lt this"

Definition at line 800 of file tesseractclass.h.

double tesseract::Tesseract::crunch_pot_poor_rate = 40

"POTENTIAL crunch rating lt this"

Definition at line 799 of file tesseractclass.h.

int tesseract::Tesseract::crunch_rating_max = 10

"For adj length in rating per ch"

Definition at line 811 of file tesseractclass.h.

double tesseract::Tesseract::crunch_small_outlines_size = 0.6

"Small if lt xht x this"

Definition at line 810 of file tesseractclass.h.

bool tesseract::Tesseract::crunch_terrible_garbage = true

"As it says"

Definition at line 795 of file tesseractclass.h.

double tesseract::Tesseract::crunch_terrible_rating = 80.0

"crunch rating lt this"

Definition at line 794 of file tesseractclass.h.

int tesseract::Tesseract::cube_debug_level = 1

"Print cube debug info."

Definition at line 751 of file tesseractclass.h.

bool tesseract::Tesseract::debug_acceptable_wds = false

"Dump word pass/fail chk"

Definition at line 724 of file tesseractclass.h.

int tesseract::Tesseract::debug_fix_space_level = 0

"Contextual fixspace debug"

Definition at line 829 of file tesseractclass.h.

int tesseract::Tesseract::debug_x_ht_level = 0

"Reestimate debug"

Definition at line 723 of file tesseractclass.h.

bool tesseract::Tesseract::docqual_excuse_outline_errs = false

"Allow outline errs in unrejection?"

Definition at line 755 of file tesseractclass.h.

char* tesseract::Tesseract::file_type = ".tif"

"Filename extension"

Definition at line 885 of file tesseractclass.h.

int tesseract::Tesseract::fixsp_done_mode = 1

"What constitues done for spacing"

Definition at line 828 of file tesseractclass.h.

int tesseract::Tesseract::fixsp_non_noise_limit = 1

"How many non-noise blbs either side?"

Definition at line 825 of file tesseractclass.h.

double tesseract::Tesseract::fixsp_small_outlines_size = 0.28

"Small if lt xht x this"

Definition at line 826 of file tesseractclass.h.

bool tesseract::Tesseract::interactive_display_mode = false

"Run interactively?"

Definition at line 884 of file tesseractclass.h.

double tesseract::Tesseract::min_orientation_margin = 7.0

"Min acceptable orientation margin"

Definition at line 894 of file tesseractclass.h.

int tesseract::Tesseract::min_sane_x_ht_pixels = 8

"Reject any x-ht lt or eq than this"

Definition at line 879 of file tesseractclass.h.

char* tesseract::Tesseract::numeric_punctuation = ".,"

"Punct. chs expected WITHIN numbers"

Definition at line 831 of file tesseractclass.h.

int tesseract::Tesseract::ocr_devanagari_split_strategy = tesseract::ShiroRekhaSplitter::NO_SPLIT

"Whether to use the top-line splitting process for Devanagari " "documents while performing ocr."

Definition at line 684 of file tesseractclass.h.

char* tesseract::Tesseract::ok_repeated_ch_non_alphanum_wds = "-?*\075"

"Allow NN to unrej"

Definition at line 877 of file tesseractclass.h.

char* tesseract::Tesseract::outlines_2 = "ij!?%\":;"

"Non standard number of outlines"

Definition at line 753 of file tesseractclass.h.

char* tesseract::Tesseract::outlines_odd = "%| "

"Non standard number of outlines"

Definition at line 752 of file tesseractclass.h.

int tesseract::Tesseract::pageseg_devanagari_split_strategy = tesseract::ShiroRekhaSplitter::NO_SPLIT

"Whether to use the top-line splitting process for Devanagari " "documents while performing page-segmentation."

Definition at line 680 of file tesseractclass.h.

int tesseract::Tesseract::paragraph_debug_level = 0

"Print paragraph debug info."

Definition at line 750 of file tesseractclass.h.

double tesseract::Tesseract::quality_blob_pc = 0.0

"good_quality_doc gte good blobs limit"

Definition at line 729 of file tesseractclass.h.

double tesseract::Tesseract::quality_char_pc = 0.95

"good_quality_doc gte good char limit"

Definition at line 732 of file tesseractclass.h.

int tesseract::Tesseract::quality_min_initial_alphas_reqd = 2

"alphas in a good word"

Definition at line 733 of file tesseractclass.h.

double tesseract::Tesseract::quality_outline_pc = 1.0

"good_quality_doc lte outline error limit"

Definition at line 731 of file tesseractclass.h.

double tesseract::Tesseract::quality_rej_pc = 0.08

"good_quality_doc lte rejection limit"

Definition at line 728 of file tesseractclass.h.

double tesseract::Tesseract::quality_rowrej_pc = 1.1

"good_quality_doc gte good char limit"

Definition at line 789 of file tesseractclass.h.

bool tesseract::Tesseract::rej_1Il_trust_permuter_type = true

"Dont double check"

Definition at line 868 of file tesseractclass.h.

bool tesseract::Tesseract::rej_1Il_use_dict_word = false

"Use dictword test"

Definition at line 867 of file tesseractclass.h.

bool tesseract::Tesseract::rej_alphas_in_number_perm = false

"Extend permuter check"

Definition at line 873 of file tesseractclass.h.

bool tesseract::Tesseract::rej_trust_doc_dawg = false

"Use DOC dawg in 11l conf. detector"

Definition at line 866 of file tesseractclass.h.

bool tesseract::Tesseract::rej_use_good_perm = true

"Individual rejection control"

Definition at line 871 of file tesseractclass.h.

bool tesseract::Tesseract::rej_use_sensible_wd = false

"Extend permuter check"

Definition at line 872 of file tesseractclass.h.

bool tesseract::Tesseract::rej_use_tess_accepted = true

"Individual rejection control"

Definition at line 869 of file tesseractclass.h.

bool tesseract::Tesseract::rej_use_tess_blanks = true

"Individual rejection control"

Definition at line 870 of file tesseractclass.h.

double tesseract::Tesseract::rej_whole_of_mostly_reject_word_fract = 0.85

"if >this fract"

Definition at line 874 of file tesseractclass.h.

bool tesseract::Tesseract::save_blob_choices = false

"Save the results of the recognition step" " (blob_choices) within the corresponding WERD_CHOICE"

Definition at line 746 of file tesseractclass.h.

double tesseract::Tesseract::suspect_accept_rating = -999.9

"Accept good rating limit"

Definition at line 850 of file tesseractclass.h.

bool tesseract::Tesseract::suspect_constrain_1Il = false

"UNLV keep 1Il chars rejected"

Definition at line 848 of file tesseractclass.h.

int tesseract::Tesseract::suspect_level = 99

"Suspect marker level"

Definition at line 843 of file tesseractclass.h.

double tesseract::Tesseract::suspect_rating_per_ch = 999.9

"Dont touch bad rating limit"

Definition at line 849 of file tesseractclass.h.

int tesseract::Tesseract::suspect_short_words = 2

"Dont Suspect dict wds longer than this"

Definition at line 847 of file tesseractclass.h.

int tesseract::Tesseract::suspect_space_level = 100

"Min suspect level for rejecting spaces"

Definition at line 845 of file tesseractclass.h.

int tesseract::Tesseract::tessdata_manager_debug_level = 0

"Debug level for TessdataManager functions."

Definition at line 888 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_adapt_to_char_fragments = true

"Adapt to words that contain " " a character composed form fragments"

Definition at line 689 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_adaption_debug = false

"Generate and print debug information for adaption"

Definition at line 691 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_ambigs_training = false

"Perform training for ambiguities"

Definition at line 676 of file tesseractclass.h.

int tesseract::Tesseract::tessedit_bigram_debug = 0

"Amount of debug output for bigram " "correction."

Definition at line 722 of file tesseractclass.h.

char* tesseract::Tesseract::tessedit_char_blacklist = ""

"Blacklist of chars not to recognize"

Definition at line 672 of file tesseractclass.h.

char* tesseract::Tesseract::tessedit_char_whitelist = ""

"Whitelist of chars to recognize"

Definition at line 674 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_consistent_reps = true

"Force all rep chars the same"

Definition at line 857 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_create_boxfile = false

"Output text with boxes"

Definition at line 880 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_create_hocr = false

"Write .html hOCR output file"

Definition at line 840 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_debug_block_rejection = false

"Block and Row stats"

Definition at line 718 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_debug_doc_rejection = false

"Page stats"

Definition at line 784 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_debug_fonts = false

"Output font info per char"

Definition at line 717 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_debug_quality_metrics = false

"Output data to debug file"

Definition at line 786 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_display_outwords = false

"Draw output words"

Definition at line 706 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_dont_blkrej_good_wds = false

"Use word segmentation quality metric"

Definition at line 773 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_dont_rowrej_good_wds = false

"Use word segmentation quality metric"

Definition at line 775 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_dump_choices = false

"Dump char choices"

Definition at line 708 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_dump_pageseg_images = false

"Dump intermediate images made during page segmentation"

Definition at line 662 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_enable_bigram_correction = false

"Enable correction based on the word bigram dictionary."

Definition at line 720 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_enable_doc_dict = true

"Add words to the document dictionary"

Definition at line 716 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_fix_fuzzy_spaces = true

"Try to improve fuzzy spaces"

Definition at line 710 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_fix_hyphens = true

"Crunch double hyphens?"

Definition at line 713 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_flip_0O = true

"Contextual 0O O0 flips"

Definition at line 861 of file tesseractclass.h.

double tesseract::Tesseract::tessedit_good_doc_still_rowrej_wd = 1.1

"rej good doc wd if more than this fraction rejected"

Definition at line 781 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_good_quality_unrej = true

"Reduce rejection on good docs"

Definition at line 757 of file tesseractclass.h.

int tesseract::Tesseract::tessedit_image_border = 2

"Rej blbs near image edge limit"

Definition at line 875 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_init_config_only = false

"Only initialize with the config file. Useful if the instance is " "not going to be used for OCR but say only for layout analysis."

Definition at line 899 of file tesseractclass.h.

char* tesseract::Tesseract::tessedit_load_sublangs = ""

"List of languages to load with this one"

Definition at line 890 of file tesseractclass.h.

double tesseract::Tesseract::tessedit_lower_flip_hyphen = 1.5

"Aspect ratio dot/hyphen test"

Definition at line 863 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_make_boxes_from_boxes = false

"Generate more boxes from boxed chars"

Definition at line 660 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_matcher_log = false

"Log matcher activity"

Definition at line 741 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_minimal_rej_pass1 = false

"Do minimal rejection on pass 1 output"

Definition at line 739 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_minimal_rejection = false

"Only reject tess failures"

Definition at line 851 of file tesseractclass.h.

int tesseract::Tesseract::tessedit_ocr_engine_mode = tesseract::OEM_TESSERACT_ONLY

"Which OCR engine(s) to run (Tesseract, Cube, both). Defaults" " to loading and running only Tesseract (no Cube, no combiner)." " (Values from OcrEngineMode enum in tesseractclass.h)"

Definition at line 670 of file tesseractclass.h.

int tesseract::Tesseract::tessedit_ok_mode = 5

"Acceptance decision algorithm"

Definition at line 859 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_override_permuter = true

"According to dict_word"

Definition at line 886 of file tesseractclass.h.

int tesseract::Tesseract::tessedit_page_number = -1

"-1 -> All pages, else specifc page to process"

Definition at line 882 of file tesseractclass.h.

int tesseract::Tesseract::tessedit_pageseg_mode = PSM_SINGLE_BLOCK

"Page seg mode: 0=osd only, 1=auto+osd, 2=auto, 3=col, 4=block," " 5=line, 6=word, 7=char" " (Values from PageSegMode enum in publictypes.h)"

Definition at line 666 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_prefer_joined_punct = false

"Reward punctation joins"

Definition at line 827 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_preserve_blk_rej_perfect_wds = true

"Only rej partially rejected words in block rejection"

Definition at line 769 of file tesseractclass.h.

int tesseract::Tesseract::tessedit_preserve_min_wd_len = 2

"Only preserve wds longer than this"

Definition at line 777 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_preserve_row_rej_perfect_wds = true

"Only rej partially rejected words in row rejection"

Definition at line 771 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_redo_xheight = true

"Check/Correct x-height"

Definition at line 714 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_reject_bad_qual_wds = true

"Reject all bad quality wds"

Definition at line 783 of file tesseractclass.h.

double tesseract::Tesseract::tessedit_reject_block_percent = 45.00

"%rej allowed before rej whole block"

Definition at line 762 of file tesseractclass.h.

double tesseract::Tesseract::tessedit_reject_doc_percent = 65.00

"%rej allowed before rej whole doc"

Definition at line 760 of file tesseractclass.h.

int tesseract::Tesseract::tessedit_reject_mode = 0

"Rejection algorithm"

Definition at line 858 of file tesseractclass.h.

double tesseract::Tesseract::tessedit_reject_row_percent = 40.00

"%rej allowed before rej whole row"

Definition at line 764 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_rejection_debug = false

"Adaption debug"

Definition at line 860 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_resegment_from_boxes = false

"Take segmentation and labeling from box file"

Definition at line 654 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_resegment_from_line_boxes = false

"Conversion of word/line box file to char box file"

Definition at line 656 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_row_rej_good_docs = true

"Apply row rejection to good docs"

Definition at line 779 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_tess_adapt_to_rejmap = false

"Use reject map to control Tesseract adaption"

Definition at line 735 of file tesseractclass.h.

int tesseract::Tesseract::tessedit_tess_adaption_mode = 0x27

"Adaptation decision algorithm for tess"

Definition at line 737 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_test_adaption = false

"Test adaption criteria"

Definition at line 740 of file tesseractclass.h.

int tesseract::Tesseract::tessedit_test_adaption_mode = 3

"Adaptation decision algorithm for tess"

Definition at line 743 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_train_from_boxes = false

"Generate training data from boxed chars"

Definition at line 658 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_training_tess = false

"Call Tess to learn blobs"

Definition at line 707 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_unrej_any_wd = false

"Dont bother with word plausibility"

Definition at line 712 of file tesseractclass.h.

double tesseract::Tesseract::tessedit_upper_flip_hyphen = 1.8

"Aspect ratio dot/hyphen test"

Definition at line 865 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_use_reject_spaces = true

"Reject spaces?"

Definition at line 758 of file tesseractclass.h.

double tesseract::Tesseract::tessedit_whole_wd_rej_row_percent = 70.00

"Number of row rejects in whole word rejects" "which prevents whole row rejection"

Definition at line 767 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_word_for_word = false

"Make output have exactly one word per WERD"

Definition at line 854 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_write_block_separators = false

"Write block separators in output"

Definition at line 836 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_write_images = false

"Capture the image from the IPE"

Definition at line 883 of file tesseractclass.h.

char* tesseract::Tesseract::tessedit_write_params_to_file = ""

"Write all parameters to the given file."

Definition at line 686 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_write_rep_codes = false

"Write repetition char code"

Definition at line 838 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_write_unlv = false

"Write .unlv output file"

Definition at line 839 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_zero_kelvin_rejection = false

"Dont reject ANYTHING AT ALL"

Definition at line 856 of file tesseractclass.h.

bool tesseract::Tesseract::tessedit_zero_rejection = false

"Dont reject ANYTHING"

Definition at line 852 of file tesseractclass.h.

bool tesseract::Tesseract::test_pt = false

"Test for point"

Definition at line 747 of file tesseractclass.h.

double tesseract::Tesseract::test_pt_x = 99999.99

"xcoord"

Definition at line 748 of file tesseractclass.h.

double tesseract::Tesseract::test_pt_y = 99999.99

"ycoord"

Definition at line 749 of file tesseractclass.h.

bool tesseract::Tesseract::textord_equation_detect = false

"Turn on equation detector"

Definition at line 900 of file tesseractclass.h.

bool tesseract::Tesseract::textord_tabfind_show_vlines = false

"Debug line finding"

Definition at line 895 of file tesseractclass.h.

bool tesseract::Tesseract::textord_use_cjk_fp_model = FALSE

"Use CJK fixed pitch model"

Definition at line 896 of file tesseractclass.h.

bool tesseract::Tesseract::unlv_tilde_crunching = true

"Mark v.bad words for tilde crunch"

Definition at line 791 of file tesseractclass.h.

char* tesseract::Tesseract::unrecognised_char = "|"

"Output char for unidentified blobs"

Definition at line 842 of file tesseractclass.h.

int tesseract::Tesseract::x_ht_acceptance_tolerance = 8

"Max allowed deviation of blob top outside of font data"

Definition at line 833 of file tesseractclass.h.

int tesseract::Tesseract::x_ht_min_change = 8

"Min change in xht before actually trying it"

Definition at line 834 of file tesseractclass.h.

The documentation for this class was generated from the following files:

- /mnt/data/src/tesseract-ocr/ccmain/tesseractclass.h
- /mnt/data/src/tesseract-ocr/ccmain/adaptions.cpp
- /mnt/data/src/tesseract-ocr/ccmain/applybox.cpp
- /mnt/data/src/tesseract-ocr/ccmain/control.cpp
- /mnt/data/src/tesseract-ocr/ccmain/cube_control.cpp
- /mnt/data/src/tesseract-ocr/ccmain/docqual.cpp
- /mnt/data/src/tesseract-ocr/ccmain/fixspace.cpp
- /mnt/data/src/tesseract-ocr/ccmain/fixxht.cpp
- /mnt/data/src/tesseract-ocr/ccmain/output.cpp
- /mnt/data/src/tesseract-ocr/ccmain/pagesegmain.cpp
- /mnt/data/src/tesseract-ocr/ccmain/pagewalk.cpp
- /mnt/data/src/tesseract-ocr/ccmain/pgedit.cpp
- /mnt/data/src/tesseract-ocr/ccmain/recogtraining.cpp
- /mnt/data/src/tesseract-ocr/ccmain/reject.cpp
- /mnt/data/src/tesseract-ocr/ccmain/tessbox.cpp
- /mnt/data/src/tesseract-ocr/ccmain/tessedit.cpp
- /mnt/data/src/tesseract-ocr/ccmain/tesseractclass.cpp
- /mnt/data/src/tesseract-ocr/ccmain/tfacepp.cpp