java验证码识别--4

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

(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

验证码识别如果识别率都是100%，那验证码也就没存在的必要了。

其实很多验证码能达到10%的识别率就不错了。

下面来一个稍微复杂一点的，识别率85%左右。

看验证码

挑一张来看

放大看，我们会发现干扰线是纯黑色的，因此去干扰线的方法就有了

对点color[i][j],如果color[i+1][j],color[i-1][j],color[i][j+1],color[i][j-1]都是纯黑或者纯白色的，就认为color[i][j]是干扰，将color[i][j]置为白色。

处理之后

这样就简单了，分割也简单。

 

识别结果

 

啥也不说了，贴代码

public class ImagePreProcess4 {private static Map<BufferedImage, String> trainMap = null;private static int index = 0;public static int isBlack(int colorInt) {Color color = new Color(colorInt);if (color.getRed() + color.getGreen() + color.getBlue() <= 300) {return 1;}return 0;}public static int isWhite(int colorInt) {Color color = new Color(colorInt);if (color.getRed() + color.getGreen() + color.getBlue() > 300) {return 1;}return 0;}public static int getColorBright(int colorInt) {Color color = new Color(colorInt);return color.getRed() + color.getGreen() + color.getBlue();}public static int isBlackOrWhite(int colorInt) {if (getColorBright(colorInt) < 30 || getColorBright(colorInt) > 730) {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 = 1; x < width - 1; ++x) {for (int y = 1; y < height - 1; ++y) {if (getColorBright(img.getRGB(x, y)) < 100) {if (isBlackOrWhite(img.getRGB(x - 1, y))+ isBlackOrWhite(img.getRGB(x + 1, y))+ isBlackOrWhite(img.getRGB(x, y - 1))+ isBlackOrWhite(img.getRGB(x, y + 1)) == 4) {img.setRGB(x, y, Color.WHITE.getRGB());}}}}for (int x = 1; x < width - 1; ++x) {for (int y = 1; y < height - 1; ++y) {if (getColorBright(img.getRGB(x, y)) < 100) {if (isBlackOrWhite(img.getRGB(x - 1, y))+ isBlackOrWhite(img.getRGB(x + 1, y))+ isBlackOrWhite(img.getRGB(x, y - 1))+ isBlackOrWhite(img.getRGB(x, y + 1)) == 4) {img.setRGB(x, y, Color.WHITE.getRGB());}}}}img = img.getSubimage(1, 1, img.getWidth() - 2, img.getHeight() - 2);return img;}public static BufferedImage removeBlank(BufferedImage img) throws Exception {int width = img.getWidth();int height = img.getHeight();int start = 0;int end = 0;Label1: for (int y = 0; y < height; ++y) {for (int x = 0; x < width; ++x) {if (isBlack(img.getRGB(x, y)) == 1) {start = y;break Label1;}}}Label2: for (int y = height - 1; y >= 0; --y) {for (int x = 0; x < width; ++x) {if (isBlack(img.getRGB(x, y)) == 1) {end = y;break Label2;}}}return img.getSubimage(0, start, width, end - start + 1);}public static List<BufferedImage> splitImage(BufferedImage img)throws Exception {List<BufferedImage> subImgs = new ArrayList<BufferedImage>();int width = img.getWidth();int height = img.getHeight();List<Integer> weightlist = new ArrayList<Integer>();for (int x = 0; x < width; ++x) {int count = 0;for (int y = 0; y < height; ++y) {if (isBlack(img.getRGB(x, y)) == 1) {count++;}}weightlist.add(count);}for (int i = 0; i < weightlist.size(); i++) {int length = 0;while (i < weightlist.size() && weightlist.get(i) > 0) {i++;length++;}if (length > 18) {subImgs.add(removeBlank(img.getSubimage(i - length, 0,length / 2, height)));subImgs.add(removeBlank(img.getSubimage(i - length / 2, 0,length / 2, height)));} else if (length > 5) {subImgs.add(removeBlank(img.getSubimage(i - length, 0, length,height)));}}return subImgs;}public static Map<BufferedImage, String> loadTrainData() throws Exception {if (trainMap == null) {Map<BufferedImage, String> map = new HashMap<BufferedImage, String>();File dir = new File("train4");File[] files = dir.listFiles();for (File file : files) {map.put(ImageIO.read(file), file.getName().charAt(0) + "");}trainMap = map;}return trainMap;}public static int getDistance(BufferedImage img, BufferedImage sample) {int width = img.getWidth();int height = img.getHeight();int count = 0;int widthmin = width < sample.getWidth() ? width : sample.getWidth();int heightmin = height < sample.getHeight() ? height : sample.getHeight();for (int x = 0; x < widthmin; ++x) {for (int y = 0; y < heightmin; ++y) {if (isWhite(img.getRGB(x, y)) != isWhite(sample.getRGB(x, y))) {count++;}}}return count;}public static boolean isNotEight(BufferedImage img) {int width = img.getWidth();int height = img.getHeight();int minCount = width;for (int y = height / 2 - 2; y < height / 2 + 2; ++y) {int count = 0;for (int x = 0; x < width / 2 + 2; ++x) {if (isBlack(img.getRGB(x, y)) == 1) {count++;}}minCount = Math.min(count, minCount);}return minCount < 2;}public static boolean isNotThree(BufferedImage img) {int width = img.getWidth();int height = img.getHeight();int minCount = width;for (int y = height / 2 - 3; y < height / 2 + 3; ++y) {int count = 0;for (int x = 0; x < width / 2 + 1; ++x) {if (isBlack(img.getRGB(x, y)) == 1) {count++;}}minCount = Math.min(count, minCount);}return minCount > 0;}public static boolean isNotFive(BufferedImage img) {int width = img.getWidth();int height = img.getHeight();int minCount = width;for (int y = 0; y < height / 3; ++y) {int count = 0;for (int x = width * 2 / 3; x < width; ++x) {if (isBlack(img.getRGB(x, y)) == 1) {count++;}}minCount = Math.min(count, minCount);}return minCount > 0;}public static String getSingleCharOcr(BufferedImage img,Map<BufferedImage, String> map) throws Exception {String result = "#";int width = img.getWidth();int height = img.getHeight();int min = width * height;boolean bNotEight = isNotEight(img);boolean bNotThree = isNotThree(img);boolean bNotFive = isNotFive(img);for (BufferedImage bi : map.keySet()) {if (bNotThree && map.get(bi).startsWith("3"))continue;if (bNotEight && map.get(bi).startsWith("8"))continue;if (bNotFive && map.get(bi).startsWith("5"))continue;double count1 = getBlackCount(img);double count2 = getBlackCount(bi);if (Math.abs(count1 - count2) / Math.max(count1, count2) > 0.25)continue;int count = 0;if (width < bi.getWidth() && height < bi.getHeight()) {for (int m = 0; m <= bi.getWidth() - width; m++) {for (int n = 0; n <= bi.getHeight() - height; n++) {Label1: for (int x = m; x < m + width; ++x) {for (int y = n; y < n + height; ++y) {if (isWhite(img.getRGB(x - m, y - n)) != isWhite(bi.getRGB(x, y))) {count++;if (count >= min)break Label1;}}}}}} else {int widthmin = width < bi.getWidth() ? width : bi.getWidth();int heightmin = height < bi.getHeight() ? height : bi.getHeight();Label1: for (int x = 0; x < widthmin; ++x) {for (int y = 0; y < heightmin; ++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);}System.out.println(result);ImageIO.write(img, "JPG", new File("result4//" + result + ".jpg"));return result;}public static int getBlackCount(BufferedImage img) {int width = img.getWidth();int height = img.getHeight();int count = 0;for (int x = 0; x < width; ++x) {for (int y = 0; y < height; ++y) {if (isBlack(img.getRGB(x, y)) == 1) {count++;}}}return count;}public static void downloadImage() {HttpClient httpClient = new HttpClient();GetMethod getMethod = new GetMethod("http://reg.keepc.com/getcode/getCode.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 = "img4//" + i + ".jpg";InputStream inputStream = getMethod.getResponseBodyAsStream();OutputStream outStream = new FileOutputStream(picName);IOUtils.copy(inputStream, outStream);outStream.close();System.out.println(i + "OK!");} catch (Exception e) {e.printStackTrace();} finally {// 释放连接getMethod.releaseConnection();}}}public static void trainData() throws Exception {File dir = new File("temp4");File[] files = dir.listFiles();for (File file : files) {BufferedImage img = removeBackgroud("temp4//" + file.getName());List<BufferedImage> listImg = splitImage(img);if (listImg.size() == 4) {for (int j = 0; j < listImg.size(); ++j) {ImageIO.write(listImg.get(j), "JPG", new File("train4//"+ file.getName().charAt(j) + "-" + (index++)+ ".jpg"));}}}}/** * @param args * @throws Exception */public static void main(String[] args) throws Exception {// downloadImage();// trainData();for (int i = 0; i < 30; ++i) {String text = getAllOcr("img4//" + i + ".jpg");System.out.println(i + ".jpg = " + text);}}}