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https://github.com/tesseract-ocr/tesseract.git
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4523ce9f7d
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@526 d0cd1f9f-072b-0410-8dd7-cf729c803f20
112 lines
3.8 KiB
C++
112 lines
3.8 KiB
C++
/* -*-C-*-
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********************************************************************************
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*
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* File: wordclass.c (Formerly wordclass.c)
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* Description: Word classifier
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* Author: Mark Seaman, OCR Technology
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* Created: Tue Jan 30 14:03:25 1990
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* Modified: Fri Jul 12 16:03:06 1991 (Mark Seaman) marks@hpgrlt
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* Language: C
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* Package: N/A
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* Status: Experimental (Do Not Distribute)
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*
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* (c) Copyright 1990, Hewlett-Packard Company.
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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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/*----------------------------------------------------------------------
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I N C L U D E S
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----------------------------------------------------------------------*/
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#include <stdio.h>
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#ifdef __UNIX__
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#include <assert.h>
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#endif
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#include "wordclass.h"
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#include "associate.h"
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#include "render.h"
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#include "matchtab.h"
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#include "permute.h"
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#include "callcpp.h"
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#include <assert.h>
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#include "wordrec.h"
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// Include automatically generated configuration file if running autoconf.
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#ifdef HAVE_CONFIG_H
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#include "config_auto.h"
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#endif
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/*----------------------------------------------------------------------
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F u n c t i o n s
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----------------------------------------------------------------------*/
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namespace tesseract {
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/**
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* @name classify_blob
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*
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* Classify the this blob if it is not already recorded in the match
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* table. Attempt to recognize this blob as a character. The recognition
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* rating for this blob will be stored as a part of the blob. This value
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* will also be returned to the caller.
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* @param blob Current blob
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* @param string The string to display in ScrollView
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* @param color The colour to use when displayed with ScrollView
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*/
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BLOB_CHOICE_LIST *Wordrec::classify_blob(TBLOB *blob,
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const char *string, C_COL color) {
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BLOB_CHOICE_LIST *choices = NULL;
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#ifndef GRAPHICS_DISABLED
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if (wordrec_display_all_blobs)
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display_blob(blob, color);
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#endif
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choices = blob_match_table.get_match(blob);
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if (choices == NULL) {
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choices = call_matcher(blob);
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blob_match_table.put_match(blob, choices);
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}
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#ifndef GRAPHICS_DISABLED
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if (classify_debug_level && string)
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print_ratings_list(string, choices, getDict().getUnicharset());
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if (wordrec_blob_pause)
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window_wait(blob_window);
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#endif
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return (choices);
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}
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// Returns a valid BLOB_CHOICE_LIST representing the given result.
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BLOB_CHOICE_LIST *Wordrec::fake_classify_blob(UNICHAR_ID class_id,
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float rating, float certainty) {
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BLOB_CHOICE_LIST *ratings = new BLOB_CHOICE_LIST(); // matcher result
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BLOB_CHOICE *choice = new BLOB_CHOICE(class_id, rating, certainty, -1, -1, 0);
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BLOB_CHOICE_IT temp_it(ratings);
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temp_it.add_after_stay_put(choice);
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return ratings;
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}
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/**
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* @name update_blob_classifications
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*
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* For each blob in the given word update match_table with the
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* corresponding BLOB_CHOICES_LIST from choices.
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*/
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void Wordrec::update_blob_classifications(
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TWERD *word, const BLOB_CHOICE_LIST_VECTOR &choices) {
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TBLOB *tblob = word->blobs;
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int index = 0;
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for (; tblob != NULL && index < choices.length();
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tblob = tblob->next, index++) {
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blob_match_table.add_to_match(tblob, choices.get(index));
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}
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}
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} // namespace tesseract;
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