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微信小程序+人脸识别

微信小程序+人脸识别

作者: 小李不小 | 来源:发表于2020-11-13 22:09 被阅读0次

    为什么在原有的基础上增加人脸识别呢,因为我也厌倦了账号+密码的登录方式,所以想试一试在原有的功能上采用人脸识别登录。
    识别过程借助于百度AI,服务器依旧是 SSM 框架。废话少说下面直接进入主题

    微信小程序

    
      faceLogin:function(){
    
        var flagTemp = '';
    
        var that = this;
        wx.chooseImage({
          count: 1, // 默认9
          sizeType: ['original', 'compressed'], // 可以指定是原图还是压缩图,默认二者都有
          sourceType: ['camera'],
      
    
          success: function (res) {
            wx.showLoading({
              title: '识别中',
            })
            var tempFilePaths = res.tempFilePaths
            wx.uploadFile({
              url: Api1,//使用人脸识别接口
              //method: 'GET',
              filePath: tempFilePaths[0],
              header: {
                'content-type': 'application/json' // 默认值
              },
              name: 'files',          
              success: function (res) {
                that.flagTemp = res.data;
                console.log("flag" + that.flagTemp);
              if (res.data != 0) {
                var uUsername = that.flagTemp;
                console.log(uUsername)
    
                user = {
                  uUsername: uUsername,              
                }
    
                wx.request({          
                  url: Api2,
                  method: 'GET',
                  data: user,
                  header: {
                    "Content-Type": "application/x-www-form-urlencoded"  // 默认值
                  },
                  success: function (res) {
                    wx.hideLoading();
                    app.globalData.userInfo = res.data;
                    console.log(res.data);
                    if (res.data != 0) {
                      wx.switchTab({
                        url: '../index/index'
                      })
                    } else {
                      wx.showModal({
                        title: '识别失败',
                        content: '请重新识别',
                        showCancel: false, //不显示取消按钮
                        confirmText: '确定'
                      })
                    }
                  }
                })
              }
              
              }
            })
          }
        })
    
      },
    

    只允许用户调用摄像头进行拍照,并调用文件上传API将图片上传进客户端获取用户名后在使用request方法对SpringMVC的Action进行用户查询,实现登录功能。

    注意:如果不使用wx.request进行数据申请,是取不到服务端返回的JSON数据的
    服务端代码

    Base64Util

    //
    // Source code recreated from a .class file by IntelliJ IDEA
    // (powered by Fernflower decompiler)
    //
    
    package com.parking.util;
    
    public class Base64Util {
        private static final char last2byte = (char)Integer.parseInt("00000011", 2);
        private static final char last4byte = (char)Integer.parseInt("00001111", 2);
        private static final char last6byte = (char)Integer.parseInt("00111111", 2);
        private static final char lead6byte = (char)Integer.parseInt("11111100", 2);
        private static final char lead4byte = (char)Integer.parseInt("11110000", 2);
        private static final char lead2byte = (char)Integer.parseInt("11000000", 2);
        private static final char[] encodeTable = new char[]{'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '+', '/'};
    
        public Base64Util() {
        }
    
        public static String encode(byte[] from) {
            StringBuilder to = new StringBuilder((int)((double)from.length * 1.34D) + 3);
            int num = 0;
            char currentByte = 0;
    
            int i;
            for(i = 0; i < from.length; ++i) {
                for(num %= 8; num < 8; num += 6) {
                    switch(num) {
                    case 0:
                        currentByte = (char)(from[i] & lead6byte);
                        currentByte = (char)(currentByte >>> 2);
                    case 1:
                    case 3:
                    case 5:
                    default:
                        break;
                    case 2:
                        currentByte = (char)(from[i] & last6byte);
                        break;
                    case 4:
                        currentByte = (char)(from[i] & last4byte);
                        currentByte = (char)(currentByte << 2);
                        if(i + 1 < from.length) {
                            currentByte = (char)(currentByte | (from[i + 1] & lead2byte) >>> 6);
                        }
                        break;
                    case 6:
                        currentByte = (char)(from[i] & last2byte);
                        currentByte = (char)(currentByte << 4);
                        if(i + 1 < from.length) {
                            currentByte = (char)(currentByte | (from[i + 1] & lead4byte) >>> 4);
                        }
                    }
    
                    to.append(encodeTable[currentByte]);
                }
            }
    
            if(to.length() % 4 != 0) {
                for(i = 4 - to.length() % 4; i > 0; --i) {
                    to.append("=");
                }
            }
    
            return to.toString();
        }
    }
    
    此工具类用于将图片文件转换为 Base64 字符串的形式

    FileUtil

    //
    // Source code recreated from a .class file by IntelliJ IDEA
    // (powered by Fernflower decompiler)
    //
    
    package com.parking.util;
    
    import java.io.BufferedInputStream;
    import java.io.ByteArrayOutputStream;
    import java.io.File;
    import java.io.FileInputStream;
    import java.io.FileNotFoundException;
    import java.io.IOException;
    
    public class FileUtil {
        public FileUtil() {
        }
    
        public static byte[] readFileByBytes(String filePath) throws IOException {
            File file = new File(filePath);
            if(!file.exists()) {
                throw new FileNotFoundException(filePath);
            } else {
                ByteArrayOutputStream bos = new ByteArrayOutputStream((int)file.length());
                BufferedInputStream in = null;
    
                try {
                    in = new BufferedInputStream(new FileInputStream(file));
                    short bufSize = 1024;
                    byte[] buffer = new byte[bufSize];
    
                    int len1;
                    while(-1 != (len1 = in.read(buffer, 0, bufSize))) {
                        bos.write(buffer, 0, len1);
                    }
    
                    byte[] var7 = bos.toByteArray();
                    byte[] var9 = var7;
                    return var9;
                } finally {
                    try {
                        if(in != null) {
                            in.close();
                        }
                    } catch (IOException var14) {
                        var14.printStackTrace();
                    }
    
                    bos.close();
                }
            }
        }
    }
    

    此工具类用于处理图片文件

    - HttpUtil 
    package com.parking.util;
    
    import java.io.BufferedReader;
    import java.io.DataOutputStream;
    import java.io.InputStreamReader;
    import java.net.HttpURLConnection;
    import java.net.URL;
    import java.util.List;
    import java.util.Map;
    
    
    public class HttpUtil {
    
        public static String post(String requestUrl, String accessToken, String params)
                throws Exception {
            String contentType = "application/x-www-form-urlencoded";
            return HttpUtil.post(requestUrl, accessToken, contentType, params);
        }
    
        public static String post(String requestUrl, String accessToken, String contentType, String params)
                throws Exception {
            String encoding = "UTF-8";
            if (requestUrl.contains("nlp")) {
                encoding = "GBK";
            }
            return HttpUtil.post(requestUrl, accessToken, contentType, params, encoding);
        }
    
        public static String post(String requestUrl, String accessToken, String contentType, String params, String encoding)
                throws Exception {
            String url = requestUrl + "?access_token=" + accessToken;
            return HttpUtil.postGeneralUrl(url, contentType, params, encoding);
        }
    
        public static String postGeneralUrl(String generalUrl, String contentType, String params, String encoding)
                throws Exception {
            URL url = new URL(generalUrl);
    
            HttpURLConnection connection = (HttpURLConnection) url.openConnection();
            connection.setRequestMethod("POST");
    
            connection.setRequestProperty("Content-Type", contentType);
            connection.setRequestProperty("Connection", "Keep-Alive");
            connection.setUseCaches(false);
            connection.setDoOutput(true);
            connection.setDoInput(true);
    
    
            DataOutputStream out = new DataOutputStream(connection.getOutputStream());
            out.write(params.getBytes(encoding));
            out.flush();
            out.close();
    
            connection.connect();
    
            Map<String, List<String>> headers = connection.getHeaderFields();
     
            for (String key : headers.keySet()) {
                System.err.println(key + "--->" + headers.get(key));
            }
            
            BufferedReader in = null;
            in = new BufferedReader(
                    new InputStreamReader(connection.getInputStream(), encoding));
            String result = "";
            String getLine;
            while ((getLine = in.readLine()) != null) {
                result += getLine;
            }
            in.close();
            System.err.println("result:" + result);
            return result;
        }
    }
    

    人脸识别登录

        @ResponseBody
        @RequestMapping(value = "/FaceLogin", method = RequestMethod.POST)
        public Object loginFace(@RequestParam("files") CommonsMultipartFile file,
                HttpServletRequest request, HttpServletResponse response)
                throws IOException {
    
            String resMsg = "";
            String path = null;
            
    
            try {
    
                long startTime = System.currentTimeMillis();
    
                System.out.println("fileName:" + file.getOriginalFilename());
                path = request.getSession().getServletContext()
                        .getRealPath("upload");
                System.out.println("path:" + path);
    
                String fileTyle = ".png";// 全部以png格式进行保存
                String newFileName = "tempLogin" + fileTyle;
                System.out.println(newFileName);
                System.out.println(fileTyle);
                File newFile = new File(path, newFileName);
    
                file.transferTo(newFile);
                long endTime = System.currentTimeMillis();
                System.out.println("运行时间:" + String.valueOf(endTime - startTime)
                        + "ms");
                resMsg = "1";
    
    
            } catch (FileNotFoundException e) {
    
                e.printStackTrace();
                resMsg = "0";
            }
    
            System.out.println(resMsg);
            
            
            if(resMsg.equals("1")){
                // 进行人脸识别
                String username = (String)faceVerify(path+"\\tempLogin.png");
                
                System.out.println("username"+username);
                
                
                return username;
            }
            
            
            return 0;       
            
    
        }
    
    
        public Object faceVerify(String pathFile) {
            // 请求url
            String url = "https://aip.baidubce.com/rest/2.0/face/v3/search";
            try {
    
                byte[] bytes = FileUtil
                        .readFileByBytes(pathFile);
                String image = Base64Util.encode(bytes);
    
                Map<String, Object> map = new HashMap<String, Object>();
                map.put("image", image);
                map.put("image_type", "BASE64");
                map.put("liveness_control", "NORMAL");
                map.put("group_id_list", "park_sys");
                map.put("quality_control", "NONE");
    
                String param = GsonUtils.toJson(map);
    
                // 注意这里仅为了简化编码每一次请求都去获取access_token,线上环境access_token有过期时间,
                // 客户端可自行缓存,过期后重新获取。
                String accessToken = "111123355453212132";//请自行获取令牌
    
                String result = HttpUtil.post(url, accessToken, "application/json",
                        param);
                System.out.println(result);
    
                // 处理返回JSON
                JSONObject json;
                json = JSONObject.fromObject(result);
                
                //获取识别状态
                String code = json.getString("error_code");
                String msg  = json.getString("error_msg");
                
                            
                
                //人脸识别成功
                if (code.equals("0")&&msg.equals("SUCCESS")){
                    JSONArray JArray = json.getJSONObject("result").getJSONArray("user_list");
                    json = JSONObject.fromObject(JArray.get(0).toString());
                    System.out.println(json.getString("user_id"));
                    return json.getString("user_id");
                }else{
                    return "Error";
                }
                
                
                
            } catch (Exception e) {
                e.printStackTrace();
            }
            return null;
        }
    

    实现思路是从微信客户端获取上传的文件图片,并调用百度人脸识别接口与人脸库图片进行匹配识别,获取返回的用户信息,调用Service方法进行判断是否成功登录。

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        本文标题:微信小程序+人脸识别

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