识别验证码

原验证码：

识别后的验证码：

import java.awt.Color;import java.awt.image.BufferedImage;import java.io.File;import java.io.IOException;import javax.imageio.ImageIO;public class BinaryTest {    public static void main(String[] args) throws IOException {        BufferedImage bufferedImage = ImageIO.read(new File("D:/passCodeAction1.jpg"));        int h = bufferedImage.getHeight();        int w = bufferedImage.getWidth();                // 灰度化        int[][] gray = new int[w][h];        for (int x = 0; x < w; x++) {            for (int y = 0; y < h; y++) {                int argb = bufferedImage.getRGB(x, y);                // 图像加亮（调整亮度识别率非常高）                int r = (int)(((argb >> 16) & 0xFF) * 1.1 + 30);                int g = (int)(((argb >> 8) & 0xFF) * 1.1 + 30);                int b = (int)(((argb >> 0) & 0xFF) * 1.1 + 30);                if (r >= 255) {                    r = 255;                }                if (g >= 255) {                    g = 255;                }                if (b >= 255) {                    b = 255;                }                gray[x][y] = (int) Math.pow((Math.pow(r, 2.2) * 0.2973 + Math.pow(g, 2.2) * 0.6274 + Math.pow(b, 2.2) * 0.0753), 1/2.2);            }        }        // 二值化        int threshold = ostu(gray, w, h);        BufferedImage binaryBufferedImage = new BufferedImage(w, h, BufferedImage.TYPE_BYTE_BINARY);        for (int x = 0; x < w; x++) {            for (int y = 0; y < h; y++) {                if (gray[x][y] > threshold) {                    gray[x][y] |= 0x00FFFF;                } else {                    gray[x][y] &= 0xFF0000;                }                binaryBufferedImage.setRGB(x, y, gray[x][y]);            }        }        // 矩阵打印        for (int y = 0; y < h; y++) {            for (int x = 0; x < w; x++) {                if (isBlack(binaryBufferedImage.getRGB(x, y))) {                    System.out.print("*");                } else {                    System.out.print(" ");                }            }            System.out.println();        }        ImageIO.write(binaryBufferedImage, "jpg", new File("D:/code.jpg"));    }    public static boolean isBlack(int colorInt) {        Color color = new Color(colorInt);        if (color.getRed() + color.getGreen() + color.getBlue() <= 300) {            return true;        }        return false;    }    public static boolean isWhite(int colorInt) {        Color color = new Color(colorInt);        if (color.getRed() + color.getGreen() + color.getBlue() > 300) {            return true;        }        return false;    }    public static int isBlackOrWhite(int colorInt) {        if (getColorBright(colorInt) < 30 || getColorBright(colorInt) > 730) {            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 ostu(int[][] gray, int w, int h) {        int[] histData = new int[w * h];        // Calculate histogram        for (int x = 0; x < w; x++) {            for (int y = 0; y < h; y++) {                int red = 0xFF & gray[x][y];                histData[red]++;            }        }        // Total number of pixels        int total = w * h;                float sum = 0;        for (int t = 0; t < 256; t++)            sum += t * histData[t];        float sumB = 0;        int wB = 0;        int wF = 0;        float varMax = 0;        int threshold = 0;        for (int t = 0; t < 256; t++) {            wB += histData[t]; // Weight Background            if (wB == 0)                continue;            wF = total - wB; // Weight Foreground            if (wF == 0)                break;            sumB += (float) (t * histData[t]);            float mB = sumB / wB; // Mean Background            float mF = (sum - sumB) / wF; // Mean Foreground            // Calculate Between Class Variance            float varBetween = (float) wB * (float) wF * (mB - mF) * (mB - mF);            // Check if new maximum found            if (varBetween > varMax) {                varMax = varBetween;                threshold = t;            }        }        return threshold;    }}