PC人脸识别登录，出乎意料的简单

本文收录在个人博客：www.chengxy-nds.top，技术资源共享。

之前不是做了个开源项目嘛，在做完GitHub登录后，想着再显得有逼格一点，说要再加个人脸识别登录，就我这佛系的开发进度，过了一周总算是抽时间安排上了。

源码在文末

其实最近对写文章有点小抵触，写的东西没人看，总有点小失落，好在有同行大佬们的开导让我重拾了信心。调整了自己的心态，只要我分享的东西对大家有帮助就好，至于多少人看那就随缘吧！

废话不多说先看人脸识别效果动态，马赛克有点重哈，没办法长相实在是拿不出手。

我们看一下实现人脸识别登录的大致流程，三个主要步骤：

1. 前端登录页打开摄像头，进行人脸识别，注意：只识别画面中是不是有人脸

2. 识别到人脸后，拍照上传当前画面图片

3. 后端接受图片并调用人脸库SDK，对人像进行比对，通过则登录成功，并将人像信息注册到人脸库和本地mysql。

上边说过要在前端识别到人脸，所以这里就不得不借助工具了，我使用的 tracking.js，一款轻量级的前端人脸识别框架。

前端 Vue 代码实现逻辑比较简单，tracking.js 打开摄像头识别到人脸信息后，对视频图像拍照，将图片信息上传到后台，等待图片对比的结果就可以了。

data() {
 return {
     showContainer: true,   // 显示
     tracker: null,
     tipFlag: false,  // 提示用户已经检测到
     flag: false,     // 判断是否已经拍照
     context: null,   // canvas上下文
     removePhotoID: null,    // 停止转换图片
     scanTip: '人脸识别中...',// 提示文字
     imgUrl: '',// base64格式图片
     canvas: null
 }
    },
    mounted() {
 this.playVideo()
    },
    methods: {

 playVideo() {
     var video = document.getElementById('video');
     this.canvas = document.getElementById('canvas');
     this.context = this.canvas.getContext('2d');
     this.tracker = new tracking.ObjectTracker('face');
     this.tracker.setInitialScale(4);
     this.tracker.setStepSize(2);
     this.tracker.setEdgesDensity(0.1);

     tracking.track('#video', this.tracker, {camera: true});

     this.tracker.on('track', this.handleTracked);
 },

 handleTracked(event) {
  this.context.clearRect(0, 0, this.canvas.width, this.canvas.height);
  if (event.data.length === 0) {
      this.scanTip = '未识别到人脸'
  } else {
      if (!this.tipFlag) {
   this.scanTip = '识别成功，正在拍照，请勿乱动~'
      }
      // 1秒后拍照，仅拍一次
      if (!this.flag) {
   this.scanTip = '拍照中...'
   this.flag = true
   this.removePhotoID = setTimeout(() => {
    this.tackPhoto()
    this.tipFlag = true
},
2000
   )
      }
      event.data.forEach(this.plot);
  }
 },

 plot(rect){
     this.context.strokeStyle = '#eb652e';
     this.context.strokeRect(rect.x, rect.y, rect.width, rect.height);
     this.context.font = '11px Helvetica';
     this.context.fillStyle = "#fff";
     this.context.fillText('x: ' + rect.x + 'px', rect.x + rect.width + 5, rect.y + 11);
     this.context.fillText('y: ' + rect.y + 'px', rect.x + rect.width + 5, rect.y + 22);
 },

 // 拍照
 tackPhoto() {

     this.context.drawImage(this.$refs.refVideo, 0, 0, 500, 500)
     // 保存为base64格式
     this.imgUrl = this.saveAsPNG(this.$refs.refCanvas)
     var formData = new FormData();
     formData.append("file", this.imgUrl);
     this.scanTip = '登录中，请稍等~'

     axios({
  method: 'post',
  url: '/faceDiscern',
  data: formData,
     }).then(function (response) {
  alert(response.data.data);
  window.location.href="http://127.0.0.1:8081/home";
     }).catch(function (error) {
  console.log(error);
     });

     this.close()
 },

 // 保存为png,base64格式图片
 saveAsPNG(c) {
     return c.toDataURL('image/png', 0.3)
 },

 // 关闭并清理资源
 close() {
     this.flag = false
     this.tipFlag = false
     this.showContainer = false
     this.tracker && this.tracker.removeListener('track', this.handleTracked) && tracking.track('#video', this.tracker, {camera: false});
     this.tracker = null
     this.context = null
     this.scanTip = ''
     clearTimeout(this.removePhotoID)
 }
    }

https://aip.baidubce.com/oauth/2.0/token?
grant_type=client_credentials&
client_id=【百度云应用的AK】&
client_secret=【百度云应用的SK】

    @Override
    public BaiDuFaceSearchResult faceSearch(String file) {

 try {
     byte[] decode = base64.decode(base64Util.base64Process(file));
     String faceFile = base64Util.encode(decode);

     Map map = new HashMap<>();
     map.put("image", faceFile);
     map.put("liveness_control", "NORMAL");
     map.put("group_id_list", "user");
     map.put("image_type", "base64");
     map.put("quality_control", "LOW");
     String param = GsonUtils.toJson(map);

     String result = HttpUtil.post(faceSearchUrl, this.getAccessToken(), "application/json", param);
     BaiDuFaceSearchResult searchResult = JSONObject.parseObject(result, BaiDuFaceSearchResult.class);
     log.info(" faceSearch: {}", JSON.toJSONString(searchResult));
     return searchResult;
 } catch (Exception e) {
     log.error("get faceSearch error {}", e.getStackTrace());
     e.getStackTrace();
 }
 return null;
    }

    @Override
    public BaiDuFaceDetectResult faceDetect(String file) {

 try {
     byte[] decode = base64.decode(base64Util.base64Process(file));
     String faceFile = base64Util.encode(decode);

     Map map = new HashMap<>();
     map.put("image", faceFile);
     map.put("face_field", "faceshape,facetype");
     map.put("image_type", "base64");
     String param = GsonUtils.toJson(map);

     String result = HttpUtil.post(faceDetectUrl, this.getAccessToken(), "application/json", param);
     BaiDuFaceDetectResult detectResult = JSONObject.parseObject(result, BaiDuFaceDetectResult.class);
     log.info(" detectResult: {}", JSON.toJSONString(detectResult));
     return detectResult;
 } catch (Exception e) {
     log.error("get faceDetect error {}", e.getStackTrace());
     e.getStackTrace();
 }
 return null;
    }

    @Override
    public BaiDuFaceAddResult addFace(String file, UserFaceInfo userFaceInfo) {

 try {
     byte[] decode = base64.decode(base64Util.base64Process(file));
     String faceFile = base64Util.encode(decode);

     Map map = new HashMap<>();
     map.put("image", faceFile);
     map.put("group_id", "user");
     map.put("user_id", userFaceInfo.getUserId());
     map.put("user_info", JSON.toJSONString(userFaceInfo));
     map.put("liveness_control", "NORMAL");
     map.put("image_type", "base64");
     map.put("quality_control", "LOW");
     String param = GsonUtils.toJson(map);

     String result = HttpUtil.post(addfaceUrl, this.getAccessToken(), "application/json", param);
     BaiDuFaceAddResult addResult = JSONObject.parseObject(result, BaiDuFaceAddResult.class);
     log.info("addResult: {}", JSON.toJSONString(addResult));
     return addResult;
 } catch (Exception e) {
     log.error("get addFace error {}", e.getStackTrace());
     e.getStackTrace();
 }
 return null;
    }