不规整的验证码图片切割字符

最新推荐文章于 2021-12-22 14:14:46 发布

one_isi_all

最新推荐文章于 2021-12-22 14:14:46 发布

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CC 4.0 BY-SA版权

分类专栏：解析验证码图片网络爬虫

本文链接：https://blog.youkuaiyun.com/one_isi_all/article/details/48657229

该博客主要介绍了如何处理不规则的验证码图片，包括去除背景、分割图像、训练数据集的构建以及使用图像识别方法获取单个字符。通过Java代码实现，涉及到图像处理和OCR技术。

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package com.eduask.luck.validate;

import java.awt.Color;
import java.awt.image.BufferedImage;
import java.io.File;
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;

public class ValidateSecondStep {

   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() < 100) {
           return 1;
       }
       return 0;
   }

   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));
       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) {
           int count = 0;
           for (int x = 0; x < width; ++x) {
               if (isWhite(img.getRGB(x, y)) == 1) {
                   count++;
               }
               if (count >= 1) {
                   start = y;