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38a6b18a5f
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@363 d0cd1f9f-072b-0410-8dd7-cf729c803f20
369 lines
16 KiB
C++
369 lines
16 KiB
C++
/**********************************************************************
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* File: tessbox.cpp (Formerly tessbox.c)
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* Description: Black boxed Tess for developing a resaljet.
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* Author: Ray Smith
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* Created: Thu Apr 23 11:03:36 BST 1992
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*
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* (C) Copyright 1992, Hewlett-Packard Ltd.
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** Licensed under the Apache License, Version 2.0 (the "License");
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** you may not use this file except in compliance with the License.
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** You may obtain a copy of the License at
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** http://www.apache.org/licenses/LICENSE-2.0
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** Unless required by applicable law or agreed to in writing, software
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** distributed under the License is distributed on an "AS IS" BASIS,
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** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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** See the License for the specific language governing permissions and
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** limitations under the License.
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*
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**********************************************************************/
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#ifdef _MSC_VER
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#pragma warning(disable:4244) // Conversion warnings
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#endif
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#include "mfcpch.h"
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#include "tfacep.h"
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#include "tfacepp.h"
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#include "tessbox.h"
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#include "mfoutline.h"
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#include "tesseractclass.h"
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#define EXTERN
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/**********************************************************************
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* tess_segment_pass1
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*
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* Segment a word using the pass1 conditions of the tess segmenter.
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**********************************************************************/
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namespace tesseract {
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WERD_CHOICE *Tesseract::tess_segment_pass1( //recog one word
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WERD *word, //bln word to do
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DENORM *denorm, //de-normaliser
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//matcher function
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POLY_MATCHER matcher,
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//raw result
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WERD_CHOICE *&raw_choice,
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//list of blob lists
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BLOB_CHOICE_LIST_CLIST *blob_choices,
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WERD *&outword //bln word output
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) {
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WERD_CHOICE *result; //return value
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int saved_enable_assoc = 0;
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int saved_chop_enable = 0;
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if (word->flag (W_DONT_CHOP)) {
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saved_enable_assoc = wordrec_enable_assoc;
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saved_chop_enable = chop_enable;
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wordrec_enable_assoc.set_value(0);
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chop_enable.set_value(0);
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if (word->flag (W_REP_CHAR))
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permute_only_top = 1;
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}
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set_pass1();
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// tprintf("pass1 chop on=%d, seg=%d, onlytop=%d",chop_enable,enable_assoc,permute_only_top);
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result = recog_word (word, denorm, matcher, NULL, NULL, FALSE,
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raw_choice, blob_choices, outword);
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if (word->flag (W_DONT_CHOP)) {
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wordrec_enable_assoc.set_value(saved_enable_assoc);
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chop_enable.set_value(saved_chop_enable);
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permute_only_top = 0;
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}
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return result;
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}
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/**********************************************************************
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* tess_segment_pass2
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*
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* Segment a word using the pass2 conditions of the tess segmenter.
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**********************************************************************/
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WERD_CHOICE *Tesseract::tess_segment_pass2( //recog one word
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WERD *word, //bln word to do
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DENORM *denorm, //de-normaliser
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//matcher function
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POLY_MATCHER matcher,
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//raw result
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WERD_CHOICE *&raw_choice,
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//list of blob lists
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BLOB_CHOICE_LIST_CLIST *blob_choices,
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WERD *&outword //bln word output
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) {
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WERD_CHOICE *result; //return value
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int saved_enable_assoc = 0;
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int saved_chop_enable = 0;
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if (word->flag (W_DONT_CHOP)) {
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saved_enable_assoc = wordrec_enable_assoc;
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saved_chop_enable = chop_enable;
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wordrec_enable_assoc.set_value(0);
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chop_enable.set_value(0);
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if (word->flag (W_REP_CHAR))
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permute_only_top = 1;
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}
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set_pass2();
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result = recog_word (word, denorm, matcher, NULL, NULL, FALSE,
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raw_choice, blob_choices, outword);
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if (word->flag (W_DONT_CHOP)) {
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wordrec_enable_assoc.set_value(saved_enable_assoc);
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chop_enable.set_value(saved_chop_enable);
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permute_only_top = 0;
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}
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return result;
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}
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/**********************************************************************
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* correct_segment_pass2
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*
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* Segment a word correctly using the pass2 conditions of the tess segmenter.
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* Then call the tester with all the correctly segmented blobs.
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* If the correct segmentation cannot be found, the tester is called
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* with the segmentation found by tess and all the correct flags set to
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* false and all strings are NULL.
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**********************************************************************/
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WERD_CHOICE *Tesseract::correct_segment_pass2( //recog one word
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WERD *word, //bln word to do
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//de-normaliser
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DENORM *denorm,
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//matcher function
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POLY_MATCHER matcher,
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//tester function
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POLY_TESTER tester,
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//raw result
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WERD_CHOICE *&raw_choice,
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//list of blob lists
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BLOB_CHOICE_LIST_CLIST *blob_choices,
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//bln word output
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WERD *&outword
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) {
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set_pass2();
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return recog_word (word, denorm, matcher, NULL, tester, TRUE,
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raw_choice, blob_choices, outword);
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}
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/**********************************************************************
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* test_segment_pass2
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*
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* Segment a word correctly using the pass2 conditions of the tess segmenter.
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* Then call the tester on all words used by tess in its search.
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* Do this only on words where the correct segmentation could be found.
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**********************************************************************/
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WERD_CHOICE *Tesseract::test_segment_pass2( //recog one word
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WERD *word, //bln word to do
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//de-normaliser
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DENORM *denorm,
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//matcher function
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POLY_MATCHER matcher,
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//tester function
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POLY_TESTER tester,
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//raw result
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WERD_CHOICE *&raw_choice,
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//list of blob lists
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BLOB_CHOICE_LIST_CLIST *blob_choices,
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//bln word output
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WERD *&outword
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) {
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set_pass2();
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return recog_word (word, denorm, matcher, tester, NULL, TRUE,
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raw_choice, blob_choices, outword);
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}
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/**********************************************************************
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* tess_acceptable_word
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*
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* Return true if the word is regarded as "good enough".
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**********************************************************************/
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BOOL8 Tesseract::tess_acceptable_word(
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WERD_CHOICE *word_choice, // after context
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WERD_CHOICE *raw_choice) { // before context
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return getDict().AcceptableResult(*word_choice, *raw_choice);
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}
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/**********************************************************************
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* tess_adaptable_word
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*
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* Return true if the word is regarded as "good enough".
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**********************************************************************/
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BOOL8 Tesseract::tess_adaptable_word( // test adaptability
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WERD *word, // word to test
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WERD_CHOICE *best_choice, // after context
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WERD_CHOICE *raw_choice // before context
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) {
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TWERD *tessword = make_tess_word(word, NULL);
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int result = (tessword && best_choice && raw_choice &&
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AdaptableWord(tessword, *best_choice, *raw_choice));
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delete_word(tessword);
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return result != 0;
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}
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/**********************************************************************
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* tess_cn_matcher
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*
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* Match a blob using the Tess Char Normalized (non-adaptive) matcher
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* only.
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**********************************************************************/
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void Tesseract::tess_cn_matcher( //call tess
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PBLOB *pblob, //previous blob
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PBLOB *blob, //blob to match
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PBLOB *nblob, //next blob
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WERD *word, //word it came from
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DENORM *denorm, //de-normaliser
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BLOB_CHOICE_LIST *ratings, //list of results
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CLASS_PRUNER_RESULTS cpresults // may be null.
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) {
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TBLOB *tessblob; //converted blob
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TEXTROW tessrow; //dummy row
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tess_cn_matching.set_value(true); //turn it on
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tess_bn_matching.set_value(false);
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//convert blob
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tessblob = make_rotated_tess_blob(denorm, blob, true);
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//make dummy row
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make_tess_row(denorm, &tessrow);
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//classify
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AdaptiveClassifier(tessblob, NULL, &tessrow, ratings, cpresults);
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free_blob(tessblob);
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}
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/**********************************************************************
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* tess_bn_matcher
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*
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* Match a blob using the Tess Baseline Normalized (adaptive) matcher
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* only.
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**********************************************************************/
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void Tesseract::tess_bn_matcher( //call tess
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PBLOB *pblob, //previous blob
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PBLOB *blob, //blob to match
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PBLOB *nblob, //next blob
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WERD *word, //word it came from
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DENORM *denorm, //de-normaliser
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BLOB_CHOICE_LIST *ratings //list of results
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) {
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TBLOB *tessblob; //converted blob
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TEXTROW tessrow; //dummy row
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tess_bn_matching.set_value(true); //turn it on
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tess_cn_matching.set_value(false);
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//convert blob
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tessblob = make_rotated_tess_blob(denorm, blob, true);
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//make dummy row
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make_tess_row(denorm, &tessrow);
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//classify
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AdaptiveClassifier(tessblob, NULL, &tessrow, ratings, NULL);
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free_blob(tessblob);
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}
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/**********************************************************************
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* tess_default_matcher
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*
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* Match a blob using the default functionality of the Tess matcher.
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**********************************************************************/
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void Tesseract::tess_default_matcher( //call tess
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PBLOB *pblob, //previous blob
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PBLOB *blob, //blob to match
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PBLOB *nblob, //next blob
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WERD *word, //word it came from
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DENORM *denorm, //de-normaliser
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//list of results
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BLOB_CHOICE_LIST *ratings,
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const char* script
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) {
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assert(ratings != NULL);
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TBLOB *tessblob; //converted blob
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TEXTROW tessrow; //dummy row
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tess_bn_matching.set_value(false); //turn it off
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tess_cn_matching.set_value(false);
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//convert blob
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tessblob = make_rotated_tess_blob(denorm, blob, true);
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//make dummy row
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make_tess_row(denorm, &tessrow);
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//classify
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AdaptiveClassifier (tessblob, NULL, &tessrow, ratings, NULL);
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free_blob(tessblob);
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}
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} // namespace tesseract
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/**********************************************************************
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* tess_training_tester
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*
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* Matcher tester function which actually trains tess.
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**********************************************************************/
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void tess_training_tester( //call tess
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const STRING& filename, //filename to output
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PBLOB *blob, //blob to match
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DENORM *denorm, //de-normaliser
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BOOL8 correct, //ly segmented
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char *text, //correct text
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inT32 count, //chars in text
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BLOB_CHOICE_LIST *ratings //list of results
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) {
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TBLOB *tessblob; //converted blob
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TEXTROW tessrow; //dummy row
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if (correct) {
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classify_norm_method.set_value(character); // force char norm spc 30/11/93
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tess_bn_matching.set_value(false); //turn it off
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tess_cn_matching.set_value(false);
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//convert blob
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tessblob = make_tess_blob (blob, TRUE);
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//make dummy row
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make_tess_row(denorm, &tessrow);
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//learn it
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LearnBlob(filename, tessblob, &tessrow, text);
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free_blob(tessblob);
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}
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}
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/**********************************************************************
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* tess_adapter
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*
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* Adapt to the word using the Tesseract mechanism.
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**********************************************************************/
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namespace tesseract {
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void Tesseract::tess_adapter( //adapt to word
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WERD *word, //bln word
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DENORM *denorm, //de-normalise
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const WERD_CHOICE& choice, //string for word
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const WERD_CHOICE& raw_choice, //before context
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const char *rejmap //reject map
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) {
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TWERD *tessword; //converted word
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static TEXTROW tessrow; //dummy row
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//make dummy row
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make_tess_row(denorm, &tessrow);
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//make a word
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tessword = make_tess_word (word, &tessrow);
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AdaptToWord(tessword, &tessrow, choice, raw_choice, rejmap);
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//adapt to it
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delete_word(tessword); //free it
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}
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/**********************************************************************
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* tess_add_doc_word
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*
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* Add the given word to the document dictionary
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**********************************************************************/
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void Tesseract::tess_add_doc_word(WERD_CHOICE *word_choice) {
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getDict().add_document_word(*word_choice);
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}
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} // namespace tesseract
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