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https://github.com/tesseract-ocr/tesseract.git
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425d593ebe
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk/trunk@2 d0cd1f9f-072b-0410-8dd7-cf729c803f20
132 lines
4.6 KiB
C++
132 lines
4.6 KiB
C++
/******************************************************************************
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** Filename: blobclass.c
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** Purpose: High level blob classification and training routines.
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** Author: Dan Johnson
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** History: 7/21/89, DSJ, Created.
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**
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** (c) Copyright Hewlett-Packard Company, 1988.
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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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Include Files and Type Defines
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----------------------------------------------------------------------------**/
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#include "blobclass.h"
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#include "fxdefs.h"
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#include "variables.h"
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#include "extract.h"
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#include "efio.h"
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#include "callcpp.h"
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#include "chartoname.h"
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#include <math.h>
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#include <stdio.h>
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#include <signal.h>
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#define MAXFILENAME 80
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#define MAXMATCHES 10
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// define default font name to be used in training
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#define FONT_NAME "UnknownFont"
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/**----------------------------------------------------------------------------
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Global Data Definitions and Declarations
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----------------------------------------------------------------------------**/
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/* name of current image file being processed */
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extern char imagefile[];
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/* parameters used to control the training process */
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static const char *FontName = FONT_NAME;
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/**----------------------------------------------------------------------------
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Public Code
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----------------------------------------------------------------------------**/
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/*---------------------------------------------------------------------------*/
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void InitBlobClassifierVars() {
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/*
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** Parameters: none
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** Globals:
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** FontName name of font being trained on
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** Operation: Install blob classifier variables into the wiseowl
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** variable system.
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** Return: none
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** Exceptions: none
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** History: Fri Jan 19 16:13:33 1990, DSJ, Created.
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*/
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VALUE dummy;
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string_variable (FontName, "FontName", FONT_NAME);
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} /* InitBlobClassifierVars */
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/*---------------------------------------------------------------------------*/
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void
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LearnBlob (TBLOB * Blob, TEXTROW * Row, char BlobText[], int TextLength)
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/*
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** Parameters:
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** Blob blob whose micro-features are to be learned
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** Row row of text that blob came from
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** BlobText text that corresponds to blob
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** TextLength number of characters in blob
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** Globals:
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** imagefile base filename of the page being learned
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** FontName name of font currently being trained on
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** Operation:
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** Extract micro-features from the specified blob and append
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** them to the appropriate file.
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** Return: none
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** Exceptions: none
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** History: 7/28/89, DSJ, Created.
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*/
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#define MAXFILENAME 80
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#define MAXCHARNAME 20
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#define MAXFONTNAME 20
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#define TRAIN_SUFFIX ".tr"
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{
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static FILE *FeatureFile = NULL;
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char Filename[MAXFILENAME];
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char CharName[MAXCHARNAME];
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CHAR_DESC CharDesc;
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LINE_STATS LineStats;
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EnterLearnMode;
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// throw out blobs which do not represent only one character
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if (TextLength != 1)
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return;
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GetLineStatsFromRow(Row, &LineStats);
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CharDesc = ExtractBlobFeatures (Blob, &LineStats);
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// if a feature file is not yet open, open it
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// the name of the file is the name of the image plus TRAIN_SUFFIX
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if (FeatureFile == NULL) {
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strcpy(Filename, imagefile);
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strcat(Filename, TRAIN_SUFFIX);
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FeatureFile = Efopen (Filename, "w");
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cprintf ("TRAINING ... Font name = %s.\n", FontName);
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}
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// get the name of the character for this blob
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chartoname (CharName, BlobText[0], "");
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// label the features with a class name and font name
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fprintf (FeatureFile, "\n%s %s ", FontName, CharName);
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// write micro-features to file and clean up
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WriteCharDescription(FeatureFile, CharDesc);
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FreeCharDescription(CharDesc);
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} // LearnBlob
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