java简单图片、验证码识别源码

本文详细介绍了使用Java实现的数字验证码识别器的工作原理,包括图像分割、单色位图转换、数字匹配等关键步骤。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

java简单图片、验证码识别源码
package com.miaocn;
import java.awt.Graphics;
import java.awt.Image;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.File;
import java.io.IOException;
import java.io.InputStream;
import java.net.MalformedURLException;
import java.net.URL;

import javax.imageio.ImageIO;
import javax.media.jai.JAI;
import javax.media.jai.RenderedOp;

/**
* 数字验证码识别器(用于识别xxx系统的图片验证码)
*
* 算法如下: 分析验证码图片结构,将其分隔成4个独立的数字图片,把四个独立的数字图片处理成单色位图。
* 把单色位图转换为0、1数组,然后分别和0-9的字模进行匹配,得到图片上的数字信息。
*
* @version 1.0 2009-7-7
* @author huangyuanmu
* @since JDK 1.5.0_8
*/
public class NumberVerCodeIdentifier {

static
{
System.setProperty("com.sun.media.jai.disableMediaLib", "true");
}

//字典
private static String a0 = "000111100";
private static String a1 = "001111110";

private static String a2 = "011111110";
private static String a22 = "011011000";

private static String a3 = "001111100";
private static String a4 = "000000110";

private static String a5 = "111111111";//前
private static String a52 = "011111111";//前
private static String a53 = "001011000";//后

private static String a6 = "000111100000111100";
private static String a7 = "001100000";
private static String a8 = "001111100000111100";
private static String a9 = "001111000";

public String recognize(BufferedImage image){

String result = "";


BufferedImage newim[] = new BufferedImage[4];
if(null == image){
throw new RuntimeException("iamage为null");
}
// 将图像分成四块,因为要处理的文件有四个数字。
newim[0] = generateSingleColorBitMap(image.getSubimage(7, 5, 8, 11));
newim[1] = generateSingleColorBitMap(image.getSubimage(20, 5, 8, 11));
newim[2] = generateSingleColorBitMap(image.getSubimage(33, 5, 8, 11));
newim[3] = generateSingleColorBitMap(image.getSubimage(46, 5, 8, 11));


for (int k = 0; k < 4; k++) {
int iw = newim[k].getWidth(null);
int ih = newim[k].getHeight(null);

StringBuffer numstr = new StringBuffer();
// 因为是二值图像,这里的方法将像素读取出来的同时,转换为0,1的图像数组。
for (int i = 0; i < ih; i++) {
for (int j = 0; j < iw; j++) {

int t = newim[k].getRGB(j, i);
if (t == -1)
numstr.append("0");
else
numstr.append("1");;

}
}
// 得到像匹配的数字串。


String straaa = numstr.toString().substring(0, 9) + numstr.toString().substring(79);
// System.out.println(numstr.toString());

boolean bye = true;
if(straaa.equals(a6))
{
result = result+6;
//System.out.println(6);
bye = false;
}
if(straaa.equals(a8))
{
result = result+8;
//System.out.println(8);
bye = false;
}

if(numstr.toString().substring(0,9).equals(a5) || numstr.toString().substring(0,9).equals(a52) || numstr.toString().substring(79).equals(a53)){
result = result+5;
//System.out.println(5);
bye = false;
}

String aaaaa = numstr.toString().substring(79);

if(bye){
if(aaaaa.equals(a0)){
result = result+0;
//System.out.println(0);
}

if(aaaaa.equals(a1)){
result = result+1;//System.out.println(1);
}
if(aaaaa.equals(a2) || aaaaa.equals(a22)){
result = result+2;//System.out.println(2);
}
if(aaaaa.equals(a3)){
result = result+3;//System.out.println(3);
}

if(aaaaa.equals(a4)){
result = result+4;// System.out.println(4);
}

if(aaaaa.equals(a7)){
result = result+7;//System.out.println(7);
}

if(aaaaa.equals(a9)){
result = result+9;//System.out.println(9);
}
}


}
// System.out.println(result);
return result;

}

/**
* 单色位图转换
* @return
*/
private static BufferedImage generateSingleColorBitMap(Image colorImage) {
BufferedImage image = new BufferedImage(8, 11,
BufferedImage.TYPE_BYTE_GRAY);
Graphics g = image.getGraphics();
g.drawImage(colorImage, 0, 0, null);
g.dispose();
RenderedOp ro = JAI.create("binarize", image, new Double(100));
BufferedImage bi = ro.getAsBufferedImage();
return bi;
}

/**
* 测试
* @author sunyang
*/
public static void main(String args[]){

NumberVerCodeIdentifier nvi = new NumberVerCodeIdentifier();

String res="";
try {
res = nvi.recognize(ImageIO.read(new File("d:\\111.bmp")));

//res = nvi.recognize(ImageIO.read(new URL("http://******.com/validationCode.jsp")));
} catch (MalformedURLException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
System.out.println(res);
}
}
ImageComparerUI——基于Java语言实现的相似图像识别,基于直方图比较算法。 import java.awt.BorderLayout; import java.awt.Color; import java.awt.Dimension; import java.awt.FlowLayout; import java.awt.Font; import java.awt.Graphics; import java.awt.Graphics2D; import java.awt.Image; import java.awt.MediaTracker; import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import java.awt.image.BufferedImage; import java.io.File; import java.io.IOException; import javax.imageio.ImageIO; import javax.swing.JButton; import javax.swing.JComponent; import javax.swing.JFileChooser; import javax.swing.JFrame; import javax.swing.JPanel; public class ImageComparerUI extends JComponent implements ActionListener { /** * */ private static final long serialVersionUID = 1L; private JButton browseBtn; private JButton histogramBtn; private JButton compareBtn; private Dimension mySize; // image operator private MediaTracker tracker; private BufferedImage sourceImage; private BufferedImage candidateImage; private double simility; // command constants public final static String BROWSE_CMD = "Browse..."; public final static String HISTOGRAM_CMD = "Histogram Bins"; public final static String COMPARE_CMD = "Compare Result"; public ImageComparerUI() { JPanel btnPanel = new JPanel(); btnPanel.setLayout(new FlowLayout(FlowLayout.LEFT)); browseBtn = new JButton("Browse..."); histogramBtn = new JButton("Histogram Bins"); compareBtn = new JButton("Compare Result"); // buttons btnPanel.add(browseBtn); btnPanel.add(histogramBtn); btnPanel.add(compareBtn); // setup listener... browseBtn.addActionListener(this); histogramBtn.addActionListener(this); compareBtn.addActionListener(this); mySize = new Dimension(620, 500); JFrame demoUI = new JFrame("Similiar Image Finder"); demoUI.getContentPane().setLayout(new BorderLayout()); demoUI.getContentPane().add(this, BorderLayout.CENTER); demoUI.getContentPane().add(btnPanel, BorderLayout.SOUTH); demoUI.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); demoUI.pack(); demoUI.setVisible(true); } public void paint(Graphics g) { Graphics2D g2 = (Graphics2D) g; if(sourceImage != null) { Image scaledImage = sourceImage.getScaledInstance(300, 300, Image.SCALE_FAST); g2.drawImage(scaledImage, 0, 0, 300, 300, null); } if(candidateImage != null) { Image scaledImage = candidateImage.getScaledInstance(300, 330, Image.SCALE_FAST); g2.drawImage(scaledImage, 310, 0, 300, 300, null); } // display compare result info here Font myFont = new Font("Serif", Font.BOLD, 16); g2.setFont(myFont); g2.setPaint(Color.RED); g2.drawString("The degree of similarity : " + simility, 50, 350); } public void actionPerformed(ActionEvent e) { if(BROWSE_CMD.equals(e.getActionCommand())) { JFileChooser chooser = new JFileChooser(); chooser.showOpenDialog(null); File f = chooser.getSelectedFile(); BufferedImage bImage = null; if(f == null) return; try { bImage = ImageIO.read(f); } catch (IOException e1) { e1.printStackTrace(); } tracker = new MediaTracker(this); tracker.addImage(bImage, 1); // blocked 10 seconds to load the image data try { if (!tracker.waitForID(1, 10000)) { System.out.println("Load error."); System.exit(1); }// end if } catch (InterruptedException ine) { ine.printStackTrace(); System.exit(1); } // end catch if(sourceImage == null) { sourceImage = bImage; }else if(candidateImage == null) { candidateImage = bImage; } else { sourceImage = null; candidateImage = null; }
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值