图片解析

/** * 测试验证码解析 * @author hanmanyi * */public class TestOCR {/** * @param args * @throws IOException */public static void main(String[] args) throws IOException {String path = "E:\\ZGCCZJworksp\\HMYTicket\\image\\passCode.jpg";//String path = "E:\\ZGCCZJworksp\\HMYTicket\\image\\untitled.bmp";//for (int i = 0; i < 100; i++) {try {filter(path);//String valCode = new OCR().recognizeText("C:\\Program Files\\Tesseract-OCR\\",new File(path), "jpg");//String valCode = new OCR().recognizeText("C:\\Program Files\\Tesseract-OCR\\",new File(path), "bmp");//valCode = valCode.replace("\r\n\r\n", "");//System.out.println(i+"|"+valCode);//} catch (IOException e) {//e.printStackTrace();} catch (Exception e) {e.printStackTrace();}//}}/** * 过滤掉图片中的直线和孤立点 * 用被使用最多的颜色（即背景色）代替 *  */public static void filter(String path) {InputStream instream;OutputStream out;String newpath = "E:\\ZGCCZJworksp\\HMYTicket\\image\\new_passCode.jpg";try {BufferedImage imgOrg = ImageIO.read(new File(path));instream = convert(imgOrg);//instream = new FileInputStream(new File(path));out = new FileOutputStream(new File(newpath));int byteread = 0;byte[] tmp = new byte[1];while ((byteread = instream.read(tmp)) != -1) {out.write(tmp);}} catch (Exception e) {e.printStackTrace();}}/** * 用被使用最多的颜色（即背景色）代替 * @param imgOrg */private static InputStream convert(BufferedImage img) {InputStream is = null;int width = img.getWidth();int height = img.getHeight();for (int j = 0; j < height; j++) {for (int i = 0; i < width; i++) {Long RGB = Long.parseLong(""+img.getRGB(i, j));Map<Long, Integer> map = getMaxColor(img,i,j);Integer c = map.get(RGB);System.out.println(RGB);System.out.println(map);if (c != null && c >1) {img.setRGB(i, j, 0xFF0000);}}}img.flush();ImageOutputStream imOut;ByteArrayOutputStream bs = new ByteArrayOutputStream();try {imOut = ImageIO.createImageOutputStream(bs);ImageIO.write(img, "jpg",imOut);is= new ByteArrayInputStream(bs.toByteArray());} catch (IOException e) {e.printStackTrace();}return is;}/** * 周围使用最多的颜色 * @param imgOrg */private static Map<Long, Integer> getMaxColor(BufferedImage img,int x,int y){int width = img.getWidth();int height = img.getHeight();int range = 2;Map<Long, Integer> map = new HashMap<Long, Integer>();for (int j = y-range < 0?0:y-range; j < height && j<=y+range ; j++) {for (int i = x-range < 0?0:x-range; i < width && i<=x+range; i++) {long RGB = img.getRGB(i, j);Integer c = map.get(RGB);if (c == null) {map.put(RGB, 1);} else {map.put(RGB, c + 1);}}}return map;}}