识别过程借助于百度AI，服务器依旧是 SSM 框架
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 = "/FaceLogins", 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 = "5555555555";//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。
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