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basicOCR.cpp
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executable file
·180 lines (145 loc) · 3.71 KB
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/*
* basicOCR.c
*
*
* Created by damiles on 18/11/08.
* Copyright 2008 Damiles. GPL License
*
*/
#ifdef _CH_
#pragma package <opencv>
#endif
#ifndef _EiC
#include "cv.h"
#include "highgui.h"
#include "ml.h"
#include <stdio.h>
#include <stdlib.h>
#include <ctype.h>
#endif
#include "preprocessing.h"
#include "basicOCR.h"
/*
char file_path[] = "../OCR/";
int train_samples = 50;
int classes= 10;
CvMat* trainData;
CvMat* trainClasses;
int size=40;
const int K=10;
CvKNearest *knn;
*/
void basicOCR::getData()
{
IplImage* src_image;
IplImage prs_image;
CvMat row,data;
char file[255];
int i,j;
for(i =0; i<classes; i++){
for( j = 0; j< train_samples; j++){
//Load file
if(j<10)
sprintf(file,"%s%d/%d0%d.pbm",file_path, i, i , j);
else
sprintf(file,"%s%d/%d%d.pbm",file_path, i, i , j);
src_image = cvLoadImage(file,0);
if(!src_image){
printf("Error: Cant load image %s\n", file);
//exit(-1);
}
//process file
prs_image = preprocessing(src_image, size, size);
//Set class label
cvGetRow(trainClasses, &row, i*train_samples + j);
cvSet(&row, cvRealScalar(i));
//Set data
cvGetRow(trainData, &row, i*train_samples + j);
IplImage* img = cvCreateImage( cvSize( size, size ), IPL_DEPTH_32F, 1 );
//convert 8 bits image to 32 float image
cvConvertScale(&prs_image, img, 0.0039215, 0);
cvGetSubRect(img, &data, cvRect(0,0, size,size));
CvMat row_header, *row1;
//convert data matrix sizexsize to vecor
row1 = cvReshape( &data, &row_header, 0, 1 );
cvCopy(row1, &row, NULL);
}
}
}
void basicOCR::train()
{
knn=new CvKNearest( trainData, trainClasses, 0, false, K );
}
float basicOCR::classify(IplImage* img, int showResult)
{
IplImage prs_image;
CvMat data;
CvMat* nearest=cvCreateMat(1,K,CV_32FC1);
float result;
//process file
prs_image = preprocessing(img, size, size);
//Set data
IplImage* img32 = cvCreateImage( cvSize( size, size ), IPL_DEPTH_32F, 1 );
cvConvertScale(&prs_image, img32, 0.0039215, 0);
cvGetSubRect(img32, &data, cvRect(0,0, size,size));
CvMat row_header, *row1;
row1 = cvReshape( &data, &row_header, 0, 1 );
result=knn->find_nearest(row1,K,0,0,nearest,0);
int accuracy=0;
for(int i=0;i<K;i++){
if( nearest->data.fl[i] == result)
accuracy++;
}
float pre=100*((float)accuracy/(float)K);
if(showResult==1){
printf("|\t%.0f\t| \t%.2f%% \t| \t%d of %d \t| \n",result,pre,accuracy,K);
printf(" ---------------------------------------------------------------\n");
}
return result;
}
void basicOCR::test(){
IplImage* src_image;
IplImage prs_image;
CvMat row,data;
char file[255];
int i,j;
int error=0;
int testCount=0;
for(i =0; i<classes; i++){
for( j = 50; j< 50+train_samples; j++){
sprintf(file,"%s%d/%d%d.pbm",file_path, i, i , j);
src_image = cvLoadImage(file,0);
if(!src_image){
printf("Error: Cant load image %s\n", file);
//exit(-1);
}
//process file
prs_image = preprocessing(src_image, size, size);
float r=classify(&prs_image,0);
if((int)r!=i)
error++;
testCount++;
}
}
float totalerror=100*(float)error/(float)testCount;
printf("System Error: %.2f%%\n", totalerror);
}
basicOCR::basicOCR()
{
//initial
sprintf(file_path , "../OCR/");
train_samples = 50;
classes= 10;
size=40;
trainData = cvCreateMat(train_samples*classes, size*size, CV_32FC1);
trainClasses = cvCreateMat(train_samples*classes, 1, CV_32FC1);
//Get data (get images and process it)
getData();
//train
train();
//Test
test();
printf(" ---------------------------------------------------------------\n");
printf("|\tClass\t|\tPrecision\t|\tAccuracy\t|\n");
printf(" ---------------------------------------------------------------\n");
}