项目目录
![](https://img2020.cnblogs.com/blog/1151930/202106/1151930-20210616153815088-188219064.png)
属性类
package com.example.demo.util;
import java.awt.image.BufferedImage;
public class VerifyImage {
// 原图
BufferedImage srcImage;
// 抠图后的图
BufferedImage cutImage;
// 滑块坐标点
Integer XPosition;
Integer YPosition;
public VerifyImage(BufferedImage srcImage, BufferedImage cutImage, Integer XPosition, Integer YPosition) {
this.srcImage = srcImage;
this.cutImage = cutImage;
this.XPosition = XPosition;
this.YPosition = YPosition;
}
public BufferedImage getSrcImage() {
return srcImage;
}
public void setSrcImage(BufferedImage srcImage) {
this.srcImage = srcImage;
}
public BufferedImage getCutImage() {
return cutImage;
}
public void setCutImage(BufferedImage cutImage) {
this.cutImage = cutImage;
}
public Integer getXPosition() {
return XPosition;
}
public void setXPosition(Integer XPosition) {
this.XPosition = XPosition;
}
public Integer getYPosition() {
return YPosition;
}
public void setYPosition(Integer YPosition) {
this.YPosition = YPosition;
}
}
生成验证码图片工具类
package com.example.demo.util;
import org.springframework.stereotype.Component;
import sun.misc.BASE64Decoder;
import sun.misc.BASE64Encoder;
import javax.imageio.ImageIO;
import java.awt.*;
import java.awt.image.BufferedImage;
import java.io.*;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
@Component
public class VerifyImageUtil {
/**
* 源文件宽度
*/
private static int ORI_WIDTH = 300;
/**
* 源文件高度
*/
private static int ORI_HEIGHT = 150;
/**
* 模板图宽度
*/
private static int CUT_WIDTH = 50;
/**
* 模板图高度
*/
private static int CUT_HEIGHT = 50;
/**
* 抠图凸起圆心
*/
private static int circleR = 5;
/**
* 抠图内部矩形填充大小
*/
private static int RECTANGLE_PADDING = 8;
/**
* 抠图的边框宽度
*/
private static int SLIDER_IMG_OUT_PADDING = 1;
/**
* 根据传入的路径生成指定验证码图片
*
* @param filePath
* @return
* @throws IOException
*/
public VerifyImage getVerifyImage(String filePath) throws IOException {
BufferedImage srcImage = ImageIO.read(new File(filePath));
int locationX = CUT_WIDTH + new Random().nextInt(srcImage.getWidth() - CUT_WIDTH * 3);
int locationY = CUT_HEIGHT + new Random().nextInt(srcImage.getHeight() - CUT_HEIGHT) / 2;
BufferedImage markImage = new BufferedImage(CUT_WIDTH,CUT_HEIGHT,BufferedImage.TYPE_4BYTE_ABGR);
int[][] data = getBlockData();
cutImgByTemplate(srcImage, markImage, data, locationX, locationY);
return new VerifyImage(srcImage,markImage,locationX,locationY);
}
/**
* 生成随机滑块形状
* <p>
* 0 透明像素
* 1 滑块像素
* 2 阴影像素
* @return int[][]
*/
private static int[][] getBlockData() {
int[][] data = new int[CUT_WIDTH][CUT_HEIGHT];
Random random = new Random();
//(x-a)²+(y-b)²=r²
//x中心位置左右5像素随机
double x1 = RECTANGLE_PADDING + (CUT_WIDTH - 2 * RECTANGLE_PADDING) / 2.0 - 5 + random.nextInt(10);
//y 矩形上边界半径-1像素移动
double y1_top = RECTANGLE_PADDING - random.nextInt(3);
double y1_bottom = CUT_HEIGHT - RECTANGLE_PADDING + random.nextInt(3);
double y1 = random.nextInt(2) == 1 ? y1_top : y1_bottom;
double x2_right = CUT_WIDTH - RECTANGLE_PADDING - circleR + random.nextInt(2 * circleR - 4);
double x2_left = RECTANGLE_PADDING + circleR - 2 - random.nextInt(2 * circleR - 4);
double x2 = random.nextInt(2) == 1 ? x2_right : x2_left;
double y2 = RECTANGLE_PADDING + (CUT_HEIGHT - 2 * RECTANGLE_PADDING) / 2.0 - 4 + random.nextInt(10);
double po = Math.pow(circleR, 2);
for (int i = 0; i < CUT_WIDTH; i++) {
for (int j = 0; j < CUT_HEIGHT; j++) {
//矩形区域
boolean fill;
if ((i >= RECTANGLE_PADDING && i < CUT_WIDTH - RECTANGLE_PADDING)
&& (j >= RECTANGLE_PADDING && j < CUT_HEIGHT - RECTANGLE_PADDING)) {
data[i][j] = 1;
fill = true;
} else {
data[i][j] = 0;
fill = false;
}
//凸出区域
double d3 = Math.pow(i - x1, 2) + Math.pow(j - y1, 2);
if (d3 < po) {
data[i][j] = 1;
} else {
if (!fill) {
data[i][j] = 0;
}
}
//凹进区域
double d4 = Math.pow(i - x2, 2) + Math.pow(j - y2, 2);
if (d4 < po) {
data[i][j] = 0;
}
}
}
//边界阴影
for (int i = 0; i < CUT_WIDTH; i++) {
for (int j = 0; j < CUT_HEIGHT; j++) {
//四个正方形边角处理
for (int k = 1; k <= SLIDER_IMG_OUT_PADDING; k++) {
//左上、右上
if (i >= RECTANGLE_PADDING - k && i < RECTANGLE_PADDING
&& ((j >= RECTANGLE_PADDING - k && j < RECTANGLE_PADDING)
|| (j >= CUT_HEIGHT - RECTANGLE_PADDING - k && j < CUT_HEIGHT - RECTANGLE_PADDING +1))) {
data[i][j] = 2;
}
//左下、右下
if (i >= CUT_WIDTH - RECTANGLE_PADDING + k - 1 && i < CUT_WIDTH - RECTANGLE_PADDING + 1) {
for (int n = 1; n <= SLIDER_IMG_OUT_PADDING; n++) {
if (((j >= RECTANGLE_PADDING - n && j < RECTANGLE_PADDING)
|| (j >= CUT_HEIGHT - RECTANGLE_PADDING - n && j <= CUT_HEIGHT - RECTANGLE_PADDING ))) {
data[i][j] = 2;
}
}
}
}
if (data[i][j] == 1 && j - SLIDER_IMG_OUT_PADDING > 0 && data[i][j - SLIDER_IMG_OUT_PADDING] == 0) {
data[i][j - SLIDER_IMG_OUT_PADDING] = 2;
}
if (data[i][j] == 1 && j + SLIDER_IMG_OUT_PADDING > 0 && j + SLIDER_IMG_OUT_PADDING < CUT_HEIGHT && data[i][j + SLIDER_IMG_OUT_PADDING] == 0) {
data[i][j + SLIDER_IMG_OUT_PADDING] = 2;
}
if (data[i][j] == 1 && i - SLIDER_IMG_OUT_PADDING > 0 && data[i - SLIDER_IMG_OUT_PADDING][j] == 0) {
data[i - SLIDER_IMG_OUT_PADDING][j] = 2;
}
if (data[i][j] == 1 && i + SLIDER_IMG_OUT_PADDING > 0 && i + SLIDER_IMG_OUT_PADDING < CUT_WIDTH && data[i + SLIDER_IMG_OUT_PADDING][j] == 0) {
data[i + SLIDER_IMG_OUT_PADDING][j] = 2;
}
}
}
return data;
}
/**
* 裁剪区块
* 根据生成的滑块形状,对原图和裁剪块进行变色处理
* @param oriImage 原图
* @param targetImage 裁剪图
* @param blockImage 滑块
* @param x 裁剪点x
* @param y 裁剪点y
*/
private static void cutImgByTemplate(BufferedImage oriImage, BufferedImage targetImage, int[][] blockImage, int x, int y) {
for (int i = 0; i < CUT_WIDTH; i++) {
for (int j = 0; j < CUT_HEIGHT; j++) {
int _x = x + i;
int _y = y + j;
int rgbFlg = blockImage[i][j];
int rgb_ori = oriImage.getRGB(_x, _y);
// 原图中对应位置变色处理
if (rgbFlg == 1) {
//抠图上复制对应颜色值
targetImage.setRGB(i,j, rgb_ori);
//原图对应位置颜色变化
oriImage.setRGB(_x, _y, Color.LIGHT_GRAY.getRGB());
} else if (rgbFlg == 2) {
targetImage.setRGB(i, j, Color.WHITE.getRGB());
oriImage.setRGB(_x, _y, Color.GRAY.getRGB());
}else if(rgbFlg == 0){
//int alpha = 0;
targetImage.setRGB(i, j, rgb_ori & 0x00ffffff);
}
}
}
}
/**
* 随机获取一张图片对象
* @param path
* @return
* @throws IOException
*/
public static BufferedImage getRandomImage(String path) throws IOException {
File files = new File(path);
File[] fileList = files.listFiles();
List<String> fileNameList = new ArrayList<>();
if (fileList!=null && fileList.length!=0){
for (File tempFile:fileList){
if (tempFile.isFile() && tempFile.getName().endsWith(".jpg")){
fileNameList.add(tempFile.getAbsolutePath().trim());
}
}
}
Random random = new Random();
File imageFile = new File(fileNameList.get(random.nextInt(fileNameList.size())));
return ImageIO.read(imageFile);
}
/**
* 将IMG输出为文件
* @param image
* @param file
* @throws Exception
*/
public static void writeImg(BufferedImage image, String file) throws Exception {
byte[] imagedata = null;
ByteArrayOutputStream bao=new ByteArrayOutputStream();
ImageIO.write(image,"png",bao);
imagedata = bao.toByteArray();
FileOutputStream out = new FileOutputStream(new File(file));
out.write(imagedata);
out.close();
}
/**
* 将图片转换为BASE64
* @param image
* @return
* @throws IOException
*/
public static String getImageBASE64(BufferedImage image) throws IOException {
ByteArrayOutputStream out = new ByteArrayOutputStream();
ImageIO.write(image,"png",out);
//转成byte数组
byte[] bytes = out.toByteArray();
BASE64Encoder encoder = new BASE64Encoder();
//生成BASE64编码
return encoder.encode(bytes);
}
/**
* 将BASE64字符串转换为图片
* @param base64String
* @return
*/
public static BufferedImage base64StringToImage(String base64String) {
try {
BASE64Decoder decoder=new BASE64Decoder();
byte[] bytes1 = decoder.decodeBuffer(base64String);
ByteArrayInputStream bais = new ByteArrayInputStream(bytes1);
return ImageIO.read(bais);
} catch (IOException e) {
e.printStackTrace();
}
return null;
}
}
在controller中进行测试
package com.example.demo.controller;
import com.example.demo.util.VerifyImage;
import com.example.demo.util.VerifyImageUtil;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.core.io.Resource;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.core.io.support.ResourcePatternResolver;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
import org.springframework.web.bind.annotation.RestController;
import javax.imageio.ImageIO;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import javax.servlet.http.HttpSession;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.util.Random;
@RestController
public class TestController {
@Autowired
VerifyImageUtil verifyImageUtil;
// 定义一个Ant模式通配符的Resource查找器,可以用来查找类路径下或者文件系统中的资源。
ResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
/**
* 返回裁剪后的图及坐标
*
* @param httpServletRequest
* @param httpServletResponse
* @throws IOException
*/
@RequestMapping("getCutImage")
@ResponseBody
public void getCutImage(HttpServletRequest httpServletRequest, HttpServletResponse httpServletResponse) throws IOException {
// 设置响应的信息类型
httpServletResponse.setContentType("image/png");
// 得到图片文件夹中所有路径
Resource[] resources = resolver.getResources("classpath*:/verifyImg/*");
int ranNum = new Random().nextInt(resources.length);
// 通过随机的图片路径得到验证码图片
VerifyImage verifyImage = verifyImageUtil.getVerifyImage(String.valueOf(resources[ranNum].getFile()));
ByteArrayOutputStream baosCutImage = new ByteArrayOutputStream();
ImageIO.write(verifyImage.getCutImage(), "png", baosCutImage);
baosCutImage.flush();
byte[] imageInByteCutImage = baosCutImage.toByteArray();
baosCutImage.close();
//// session处理
HttpSession mySession = httpServletRequest.getSession();
mySession.setAttribute("ImageX", verifyImage.getXPosition());
mySession.setAttribute("ImageY", verifyImage.getYPosition());
System.out.println("ImageX:" + mySession.getAttribute("ImageX"));
System.out.println("ImageY:" + mySession.getAttribute("ImageY"));
OutputStream stream = httpServletResponse.getOutputStream();
stream.write(imageInByteCutImage);
// 清空
stream.flush();
// 关闭
stream.close();
}
/**
* 返回原图
*
* @param httpServletRequest
* @param httpServletResponse
* @throws IOException
*/
@RequestMapping("getSrcImage")
@ResponseBody
public void getSrcImage(HttpServletRequest httpServletRequest, HttpServletResponse httpServletResponse) throws IOException {
// 设置响应的信息类型
httpServletResponse.setContentType("image/png");
// 得到图片文件夹中所有路径
Resource[] resources = resolver.getResources("classpath*:/verifyImg/*");
int ranNum = new Random().nextInt(resources.length);
// 通过随机的图片路径得到验证码图片
VerifyImage verifyImage = verifyImageUtil.getVerifyImage(String.valueOf(resources[ranNum].getFile()));
ByteArrayOutputStream baosSrcImage = new ByteArrayOutputStream();
ImageIO.write(verifyImage.getSrcImage(), "png", baosSrcImage);
baosSrcImage.flush();
byte[] imageInByteSrcImage = baosSrcImage.toByteArray();
baosSrcImage.close();
OutputStream stream = httpServletResponse.getOutputStream();
stream.write(imageInByteSrcImage);
stream.flush();
// 清空
stream.flush();
// 关闭
stream.close();
}
/**
* 得到图片验证的坐标,进行有效性校对
*
* @param x
* @param y
* @param httpServletRequest
* @param httpServletResponse
* @return
*/
@RequestMapping("verifyImage")
public String verifyImage(String x, String y, HttpServletRequest httpServletRequest, HttpServletResponse httpServletResponse) {
HttpSession httpSession = httpServletRequest.getSession();
String ImageX = String.valueOf(httpSession.getAttribute("ImageX"));
String ImageY = String.valueOf(httpSession.getAttribute("ImageY"));
// 计算验证图片坐标的误差值
int absX = Math.abs(Integer.parseInt(x) - Integer.parseInt(ImageX));
int absY = Math.abs(Integer.parseInt(y) - Integer.parseInt(ImageY));
if (absX < 6 && absY < 6) {
return "验证码正确";
}
return "验证码错误";
}
}
![](https://img2020.cnblogs.com/blog/1151930/202106/1151930-20210616154121018-990353131.png)
![](https://img2020.cnblogs.com/blog/1151930/202106/1151930-20210616154132899-935471772.png)