js+java实现登录滑动图片验证

最新需要公司要求在不改变原来的登录逻辑的情况下，将原来的验证码登录的形式改成滑动图片的形式！下面是做出来的效果：

实现思路：所有的图片数据，验证全部由后端来做。前端调用接口，后端会返回两张经过base64加密的图片信息，分别是背景图片和滑块图片，前端滑动滑块以后将X方向的滑动距离传回后端做验证，验证成功以后再做后续的登录逻辑验证，以下是完整的过程：

获取背景图，我这边是在FTP上放了10张图片，随机获取一张。

@LogAnnotation(description = "web获取滑动图片信息")
 @ApiOperation(value = "web获取滑动图片信息", httpMethod = "POST", response = Result.class, notes = "")
 @RequiresPermissions(value = "code/picture/msg")
 @RequestMapping(value = "code/picture/msg", method = RequestMethod.POST)
 @ResponseBody
 public Response getPictureCode(HttpServletRequest request) {
 Map<String, Object> pictureMap = new HashMap<>();
 try {
 //随机获取需要切成的图片形状
 Integer templateNum = new Random().nextInt(10) + 1;
 String randomStr = String.valueOf(templateNum);
 if(templateNum < 10){
 randomStr = "0"+randomStr;
 }
 InputStream tempInputStream = FileUtils.downloadFtpFile(Constant.POCTURE_CHECK_PATH,randomStr+".jpg");
 //根据源图片和抠图形状生成新的图片信息以流的形式返回到前端
 pictureMap = VerifyImageUtil.getVerifyImage(tempInputStream);
 //将剪裁好了以后的图片信息以当前时间戳为key，存入redis（这一步是为了对图片信息做过期处理，根据自己需求做）
 String tempTime = String.valueOf(System.currentTimeMillis());
 redisUtils.hset(Constant.REDIS_LOGIN_PICTURE_CODE, tempTime,pictureMap.get("locationX").toString(),60);
 pictureMap.put("tempTime",tempTime);
 //移出随机生成的抠图位置坐标，不返回给前端
 pictureMap.remove("locationX");
 return new ObjectResponse<Map<String, Object>>(pictureMap);
 }catch(Exception e){
 logger.error("code/picture/msg", e);
 return new FailedResponse();
 }
 }

FTP下载方法代码

public static FTPClient ftpLogin(){
 String ip = p.getProperty("ftp的ip");
 String username = p.getProperty("ftp的user");
 String password = p.getProperty("ftp的pwd");
 int ftpPort = Integer.parseInt(p.getProperty("ftp的port"));
  FTPClient ftpClient = new FTPClient();
 try {
   ftpClient.connect(ip , ftpPort );// 连接FTP服务器
   ftpClient.login(username , password );// 登陆FTP服务器
   if (!FTPReply.isPositiveCompletion(ftpClient.getReplyCode())) {
    ftpClient.disconnect();
   }
  } catch (SocketException e) {
   e.printStackTrace();
  } catch (IOException e) {
   e.printStackTrace();
  }
 return ftpClient;
 }

public static InputStream downloadFtpFile(String ftpPath, String fileName) {
  FTPClient ftpClient = ftpLogin();
  try {
   ftpClient.setControlEncoding("UTF-8"); // 中文支持
   ftpClient.setFileType(FTPClient.BINARY_FILE_TYPE);
   ftpClient.enterLocalPassiveMode();
   ftpClient.changeWorkingDirectory(ftpPath);
   InputStream inputStream = ftpClient.retrieveFileStream(new String(fileName.getBytes("UTF-8"), "ISO-8859-1"));
   //ftpClient.completePendingCommand();
   return inputStream;
  } catch (Exception e) {
   e.printStackTrace();
  }finally {
   try {
 ftpClient.logout();
 } catch (IOException e) {
 e.printStackTrace();
 }
 }
 return null;
 } 

抠图工具类VerifyImageUtil

public class VerifyImageUtil {

 /**
 * 源文件宽度
 */
 private static int ORI_WIDTH = 296;
 /**
 * 源文件高度
 */
 private static int ORI_HEIGHT = 182;
 /**
 * 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 = 6;
 /**
 * 抠图内部矩形填充大小
 */
 private static int RECTANGLE_PADDING = 6;
 /**
 * 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 static Map<String, Object> getVerifyImage(InputStream filePath) throws IOException {
 BufferedImage srcImage = ImageIO.read(filePath);
 int locationX = CUT_WIDTH + new Random().nextInt(srcImage.getWidth() - CUT_WIDTH * 2);
 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);
 Map<String, Object> resultMap = new HashMap<>();
  //放入背景图的加密信息
 resultMap.put("srcImage",getImageBASE64(srcImage));
  //放入滑块图的加密信息
 resultMap.put("markImage",getImageBASE64(markImage));
  //放入抠图位置的X方向的信息，用于验证滑块位置是否正确
 resultMap.put("locationX",locationX);
  //放入抠图位置的Y方向的信息，用于前端控制定位信息
 resultMap.put("locationY",locationY);
 return resultMap;
 }

 /**
 * 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, rgb_ori & 0x363636);
 } 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;
 }
}

前端收到请求成功返回信息以后，对数据做解析

// 设置图片的src属性
 $("#背景图的ID").attr("src", "data:image/png;base64," + result.datas.srcImage);
 $("#滑块图的ID").attr("src", "data:image/png;base64," + result.datas.markImage);
 $("#滑块图的ID").css("top", result.datas.locationY);
 /* 初始化按钮拖动事件 */
 // 鼠标点击事件
 $("#滑块拖动条").mousedown(function(e) {
  e = e || window.event;
  // 鼠标在滑块按下切换滑块背景
  var left = e.pageX;//记录鼠标按下时的坐标 X轴值
  var num = 0;
  // 鼠标移动事件
  document.onmousemove = function(e) {
  var nowLeft = e.pageX;
  num = nowLeft-left;
  if(num <= 0){
  num = 0;
  }else if(num >= 251){
  num= 251;
  }
  $("#滑块拖动条").css("width", (42+num) + "px");
  $("#滑块拖动条图片").css("left", (num) + "px");
  $("#滑块拖动条").css("background-color", "#3c55ff");
  };
  // 鼠标松开事件
  document.onmouseup = function(e) {
  left = 0;
  document.onmousemove = null;
  document.onmouseup = null;
      //松开以后进行后续的验证......

  };
 });

以上就是完整的过程了.

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