本文实例为大家分享了人脸认证源码faceIdentify的具体代码，供大家参考，具体内容如下

人脸认证：

using AForge.Video.DirectShow;using face;using Newtonsoft.Json;using Newtonsoft.Json.Linq;using System;using System.Collections.Generic;using System.ComponentModel;using System.Data;using System.Data.SqlClient;using System.Drawing;using System.Drawing.Imaging;using System.IO;using System.Linq;using System.Text;using System.Threading.Tasks;using System.Windows.Forms;namespace Camtest{ public partial class faceIdentify : Form { public faceIdentify() { InitializeComponent(); //启动默认在屏幕中间 this.StartPosition = System.Windows.Forms.FormStartPosition.CenterScreen; } //Api_Key public static string Api_Key = "OVYw5Ok0y9U8n6CfVPYt0wfZ"; //Secret_Key public static string Secret_Key = "aCN3lupCarq3rC9G8Rylqz1d36Towp8G"; FilterInfoCollection videoDevices; VideoCaptureDevice videoSource; public int selectedDeviceIndex = 0; public int selectedPICIndex = 0; //窗体加载 private void faceIdentify_Load(object sender, EventArgs e) { //显示为正在检测 this.label1.Text = this.label2.Text = this.label6.Text = this.label9.Text = "正在识别"; // 刷新可用相机的列表 videoDevices = new FilterInfoCollection(FilterCategory.VideoInputDevice); comboBoxCameras.Items.Clear(); for (int i = 0; i < videoDevices.Count; i++) { comboBoxCameras.Items.Add(videoDevices[i].Name.ToString()); } if (comboBoxCameras.Items.Count > 0) comboBoxCameras.SelectedIndex = 0; picsize.SelectedIndex = 0; //打开摄像头 openCamera(); } //打开摄像头 public void openCamera() { selectedPICIndex = picsize.SelectedIndex; selectedDeviceIndex = comboBoxCameras.SelectedIndex; //连接摄像头。 videoSource = new VideoCaptureDevice(videoDevices[selectedDeviceIndex].MonikerString); videoSource.VideoResolution = videoSource.VideoCapabilities[selectedDeviceIndex]; // 枚举所有摄像头支持的像素，设置拍照为1920*1080 foreach (VideoCapabilities capab in videoSource.VideoCapabilities) { if (selectedPICIndex == 0) { if (capab.FrameSize.Width == 1920 && capab.FrameSize.Height == 1080) { videoSource.VideoResolution = capab; break; } if (capab.FrameSize.Width == 1280 && capab.FrameSize.Height == 720) { videoSource.VideoResolution = capab; break; } } else { if (capab.FrameSize.Width == 1280 && capab.FrameSize.Height == 720) { videoSource.VideoResolution = capab; break; } } } videoSourcePlayer1.VideoSource = videoSource; // set NewFrame event handler videoSourcePlayer1.Start(); } /// <summary> /// 签到的按钮 /// 先保存图片，然后进行比较，获取的id，查询 /// </summary> /// <param name="sender"></param> /// <param name="e"></param> private void qiandao_Click(object sender, EventArgs e) { Users users = FaceIdentifys(SavePicture()); this.label1.Text = users.age.ToString(); this.label2.Text = users.name; this.label6.Text = users.phone; this.label9.Text = users.address; if (users.picture != null) { this.pictureBox1.Image = Image.FromFile(users.picture, false); } } //关闭窗口 private void faceIdentify_FormClosing(object sender, FormClosingEventArgs e) { DialogResult r = MessageBox.Show("确定要退出程序?", "操作提示", MessageBoxButtons.OKCancel, MessageBoxIcon.Question); if (r != DialogResult.OK) { e.Cancel = true; } videoSourcePlayer1.Stop();//停止摄像头 videoSourcePlayer1.Dispose(); } /// <summary> /// 人脸识别 /// </summary> /// <param name="filename"></param> public static Users FaceIdentifys(string filename) { long id = 0; string ids = ""; double scores_num = 0; Users user = new Users(); var client = new Baidu.Aip.Face.Face(Api_Key, Secret_Key); var image1 = File.ReadAllBytes(filename); var result = client.User.Identify(image1, new[] { "gr_test" }, 1, 1); //先判断脸是不是在上面，在继续看有匹配的没，否则提示放上脸 //得到根节点 JObject jo_result = (JObject)JsonConvert.DeserializeObject(result.ToString()); if ((string)jo_result["error_msg"] != null) { MessageBox.Show("对不起，请把脸放上！", "提示", MessageBoxButtons.OK, MessageBoxIcon.Stop); } else { //检测到脸 //得到result节点 JArray jo_age = (JArray)JsonConvert.DeserializeObject(jo_result["result"].ToString()); foreach (var val in jo_age) { id = long.Parse(((JObject)val)["uid"].ToString()); //获取uid string scores = ((JObject)val)["scores"].ToString();//获取scores int num1 = scores.IndexOf("\n") + 2; int num2 = scores.LastIndexOf("]")-8; ids = scores.Substring(num1, num2); scores_num =double.Parse(ids); } if (scores_num > 80) { user = QueryUsersById(id); if (user.id != 0) { MessageBox.Show("签到成功，已检测到您的信息", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Information); } else { MessageBox.Show("对不起，系统根据您的脸未检测到信息", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Stop); } } else { MessageBox.Show("对不起，系统根据您的脸未检测到信息", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Stop); } } return user; } /// <summary> /// 保存图片 /// </summary> public string SavePicture() { if (videoSource == null) { return null; } Bitmap bitmap = videoSourcePlayer1.GetCurrentVideoFrame(); //图片名称，年月日时分秒毫秒.jpg string fileName = DateTime.Now.ToString("yyyyMMddHHmmssff") + ".jpg"; //获取项目的根目录 string path = AppDomain.CurrentDomain.BaseDirectory; string picture = path + "\\picture\\" + fileName; //将图片保存在服务器里面 bitmap.Save(picture, ImageFormat.Jpeg); bitmap.Dispose(); return picture; } /// <summary> /// 根据编号查询用户信息 /// </summary> /// <param name="id"></param> /// <returns></returns> public static Users QueryUsersById(long id) { Users user = new Users(); string sql = "select * from users where id = @id"; using (SqlDataReader reader = SqlHelper.ExcuteReader(sql, CommandType.Text, new SqlParameter("@id", id))) { if (reader.Read()) { user.id = long.Parse(reader[0].ToString()); user.name = reader[1].ToString(); user.age = Convert.ToInt32(reader[2]); user.phone = reader[3].ToString(); user.password = reader[4].ToString(); user.address = reader[5].ToString(); user.picture = reader[6].ToString(); } } return user; } //取消的按钮 private void close_Click(object sender, EventArgs e) { //停止摄像头 videoSourcePlayer1.Stop(); this.Close(); welcome we = new welcome(); we.Show(); } }}

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持。