/*
 *  preprocessing.h
 *  
 *
 *  Created by damiles on 18/11/08.
 *  Copyright 2008 __MyCompanyName__. All rights reserved.
 *
 */
#ifdef _CH_
#pragma package <opencv>
#endif
#ifndef _EiC
#include "cv.h"
#include "highgui.h"
#include "ml.h"
#include <stdio.h>
#include <ctype.h>
#endif
class basicOCR{
	public:
		float classify(IplImage* img,int showResult);
		basicOCR ();
		void test();	
	private:
		char file_path[255];
		int train_samples;
		int classes;
		CvMat* trainData;
		CvMat* trainClasses;
		int size;
		static const int K=10;
		CvKNearest *knn;
		void getData();
		void train();
};

/*
 *  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");

}

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