java验证码识别--1

java验证码识别--1

http://blog.csdn.net/problc/article/details/5794460

java验证码识别--2

http://blog.csdn.net/problc/article/details/5797507

java验证码识别--3

http://blog.csdn.net/problc/article/details/5800093

java验证码识别--4

http://blog.csdn.net/problc/article/details/5846614

java验证码识别--5

http://blog.csdn.net/problc/article/details/5983276

如何识别高级的验证码-粘连等

http://blog.csdn.net/problc/article/details/22796609

常见验证码的弱点与验证码识别

http://blog.csdn.net/problc/article/details/22796971

(本文仅用于学习研究图像匹配识别原理，不得用于其他用途。)

完整eclipse工程http://download.csdn.net/detail/problc/3829004

最近看了看验证码的识别，先从最简单的做起吧(固定大小，固定位置，固定字体)

 

验证码识别基本分四步，图片预处理，分割，训练，识别

 

看一个最简单验证码

这是一个德克萨斯扑克的注册页面的验证码

 

1。图像的预处理

这种直接根据亮度设个阈值处理就可以了

public static int isWhite(int colorInt) {Color color = new Color(colorInt);if (color.getRed() + color.getGreen() + color.getBlue() > 100) {return 1;}return 0;}public static BufferedImage removeBackgroud(String picFile)throws Exception {BufferedImage img = ImageIO.read(new File(picFile));int width = img.getWidth();int height = img.getHeight();for (int x = 0; x < width; ++x) {for (int y = 0; y < height; ++y) {if (isWhite(img.getRGB(x, y)) == 1) {img.setRGB(x, y, Color.WHITE.getRGB());} else {img.setRGB(x, y, Color.BLACK.getRGB());}}}return img;}

 

处理完图片效果为

图像基本分得比较清楚，图片分割也比较容易

 

2。分割

这个验证码居然是固定位置的，分割相当简单，直接截取相应位置就可以了

public static List<BufferedImage> splitImage(BufferedImage img)throws Exception {List<BufferedImage> subImgs = new ArrayList<BufferedImage>();subImgs.add(img.getSubimage(10, 6, 8, 10));subImgs.add(img.getSubimage(19, 6, 8, 10));subImgs.add(img.getSubimage(28, 6, 8, 10));subImgs.add(img.getSubimage(37, 6, 8, 10));return subImgs;}

3。训练

直接拿几张图片，包含0-9，每个数字一个样本就可以了，将文件名对应相应的数字

4。识别

因为是固定大小，固定位置，识别也很简单。

直接拿分割的图片跟这个十个图片一个像素一个像素的比，相同的点最多的就是结果。比如如果跟5.jpg最相似，那么识别的结果就是5。

下面是识别结果，很容易达到100%

 

 

完整代码(csdn连个附件都不支持)：

import java.awt.Color;import java.awt.image.BufferedImage;import java.io.File;import java.io.FileOutputStream;import java.io.InputStream;import java.io.OutputStream;import java.util.ArrayList;import java.util.HashMap;import java.util.List;import java.util.Map;import javax.imageio.ImageIO;import org.apache.commons.httpclient.HttpClient;import org.apache.commons.httpclient.HttpStatus;import org.apache.commons.httpclient.methods.GetMethod;import org.apache.commons.io.IOUtils;public class ImagePreProcess {public static int isWhite(int colorInt) {Color color = new Color(colorInt);if (color.getRed() + color.getGreen() + color.getBlue() > 100) {return 1;}return 0;}public static int isBlack(int colorInt) {Color color = new Color(colorInt);if (color.getRed() + color.getGreen() + color.getBlue() <= 100) {return 1;}return 0;}public static BufferedImage removeBackgroud(String picFile)throws Exception {BufferedImage img = ImageIO.read(new File(picFile));int width = img.getWidth();int height = img.getHeight();for (int x = 0; x < width; ++x) {for (int y = 0; y < height; ++y) {if (isWhite(img.getRGB(x, y)) == 1) {img.setRGB(x, y, Color.WHITE.getRGB());} else {img.setRGB(x, y, Color.BLACK.getRGB());}}}return img;}public static List<BufferedImage> splitImage(BufferedImage img)throws Exception {List<BufferedImage> subImgs = new ArrayList<BufferedImage>();subImgs.add(img.getSubimage(10, 6, 8, 10));subImgs.add(img.getSubimage(19, 6, 8, 10));subImgs.add(img.getSubimage(28, 6, 8, 10));subImgs.add(img.getSubimage(37, 6, 8, 10));return subImgs;}public static Map<BufferedImage, String> loadTrainData() throws Exception {Map<BufferedImage, String> map = new HashMap<BufferedImage, String>();File dir = new File("train");File[] files = dir.listFiles();for (File file : files) {map.put(ImageIO.read(file), file.getName().charAt(0) + "");}return map;}public static String getSingleCharOcr(BufferedImage img,Map<BufferedImage, String> map) {String result = "";int width = img.getWidth();int height = img.getHeight();int min = width * height;for (BufferedImage bi : map.keySet()) {int count = 0;Label1: for (int x = 0; x < width; ++x) {for (int y = 0; y < height; ++y) {if (isWhite(img.getRGB(x, y)) != isWhite(bi.getRGB(x, y))) {count++;if (count >= min)break Label1;}}}if (count < min) {min = count;result = map.get(bi);}}return result;}public static String getAllOcr(String file) throws Exception {BufferedImage img = removeBackgroud(file);List<BufferedImage> listImg = splitImage(img);Map<BufferedImage, String> map = loadTrainData();String result = "";for (BufferedImage bi : listImg) {result += getSingleCharOcr(bi, map);}ImageIO.write(img, "JPG", new File("result//"+result+".jpg"));return result;}public static void downloadImage() {HttpClient httpClient = new HttpClient();GetMethod getMethod = new GetMethod("http://www.puke888.com/authimg.php");for (int i = 0; i < 30; i++) {try {// 执行getMethodint statusCode = httpClient.executeMethod(getMethod);if (statusCode != HttpStatus.SC_OK) {System.err.println("Method failed: "+ getMethod.getStatusLine());}// 读取内容String picName = "img//" + i + ".jpg";InputStream inputStream = getMethod.getResponseBodyAsStream();OutputStream outStream = new FileOutputStream(picName);IOUtils.copy(inputStream, outStream);outStream.close();System.out.println("OK!");} catch (Exception e) {e.printStackTrace();} finally {// 释放连接getMethod.releaseConnection();}}}/** * @param args * @throws Exception */public static void main(String[] args) throws Exception {for (int i = 0; i < 30; ++i) {String text = getAllOcr("img//" + i + ".jpg");System.out.println(i + ".jpg = " + text);}}}