engleangs

package com.demo.knn;

import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.atomic.AtomicInteger;

engleangs

package com.demo.knn;
/**
 * @author Engleang
 * Distance calculator using Euclidean fomula
 *
 * */
public final class DistanceCalculator {

    public final static double getDistance(double[] data1, double[] data2) {
        if (data1.length != data2.length) {

engleangs

package com.demo.knn;
/**
 * @author
 * Data class for storing the number represent bit(0,1) of the handwriting data.
 *
 * */
public class SampleData {
    private final double []data;
    private final String identifier;
    private final String fileName;

engleangs

package com.demo.knn;

/**
 * @author Engleang
 * Data class for storing distance value between test and sample .
 * */
public class SampleDistanceValue  {
    private final String identifier;
    private final double value;

engleangs

package com.demo.knn;
import java.util.*;
import java.util.concurrent.*;
/**
 * @author Engleang
 * Knn Classifer is for classifying data using kNN algorithm
 *
 * */
public class KnnClassifier {
    private int k;

engleangs

import com.demo.knn.*;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ExecutionException;
/**
 * @author Engleang
 * Demo kNN application class

engleangs

dependencies {
    testCompile group: 'junit', name: 'junit', version: '4.12'
    compile group: 'net.sourceforge.tess4j', name: 'tess4j', version: '4.5.1'

}

engleangs

    static final int DELTA = 3;

    public static boolean isEligible(BufferedImage img, int x, int y){

        int left  = x-1;
        while (  left < 0 &&  x -left < 2* DELTA) {
            if( img.getRGB(left,y) == Color.WHITE.getRGB()) {
                break;
            }
            left --;

engleangs

BufferedImage image = ImageIO.read( new File("sample/captcha-sample-1.png"));
BufferedImage clean = cleanImage(image);
ImageIO.write(clean, "png",new File("sample/clean.png"));
Tesseract tesseract = new Tesseract();
tesseract.setDatapath("D:\\ProgramFiles\\Tesseract-OCR\\tessdata");
String result = tesseract.doOCR( clean);

engleangs

 public static String cleanResult(String result){
        StringBuilder sb = new StringBuilder();
        for(int i =0;i<result.length();i++){
            if( Character.isAlphabetic( result.charAt(i)) || Character.isDigit( result.charAt(i))) {
                sb.append( result.charAt(i));
            }
        }
        return sb.toString();
    }