C#winforms实现windows窗体人脸识别

在之前我写过一篇博客，是关于javaweb实现人脸识别，包括数据库以及java源码，还有相关的jar包都已经上传了，有想要了解的可以去看看，地址是：java实现人脸识别源码
实现了之后又正好朋友开发C#，想要我顺便给写个小功能的人脸识别，于是我就打开我的笔记本就干起代码了，既然java都实现了，难不成还怕个C#实现不了？web端的已经实现了一遍，这次偶就来个高难度的，用winfroms写了一个玩玩，废话不多说，步入正题！

   首先我们来先整一个数据库，我这使用的版本：
   数据库：sql server2012
   C#开发工具：Visual Studio2012
   操作系统：win10 家庭版

一、创建一个数据库，名为TestFaceDB

里面有一张表就OK了，表名Users,表里面有几个字段我说明一下：
id--------------------bigint----------------------编号
name--------------varchar(50)-----------------用户名
phone--------------varchar(50)----------------电话
password--------------varchar(50)------------密码
address--------------varchar(50)--------------地址
picture--------------varchar(50)---------------脸的图片
然后我吧数据库脚本放上来：

USE [master]
GO
/****** Object:  Database [TestFaceDB]    Script Date: 2017-11-30 22:09:36 ******/
CREATE DATABASE [TestFaceDB]
 CONTAINMENT = NONE
 ON  PRIMARY 
( NAME = N'TestFaceDB', FILENAME = N'E:\DB\TestFaceDB.mdf' , SIZE = 5120KB , MAXSIZE = UNLIMITED, FILEGROWTH = 1024KB )
 LOG ON 
( NAME = N'TestFaceDB_log', FILENAME = N'E:\DB\TestFaceDB_log.ldf' , SIZE = 2048KB , MAXSIZE = 2048GB , FILEGROWTH = 10%)
GO
ALTER DATABASE [TestFaceDB] SET COMPATIBILITY_LEVEL = 110
GO
IF (1 = FULLTEXTSERVICEPROPERTY('IsFullTextInstalled'))
begin
EXEC [TestFaceDB].[dbo].[sp_fulltext_database] @action = 'enable'
end
GO
ALTER DATABASE [TestFaceDB] SET ANSI_NULL_DEFAULT OFF 
GO
ALTER DATABASE [TestFaceDB] SET ANSI_NULLS OFF 
GO
ALTER DATABASE [TestFaceDB] SET ANSI_PADDING OFF 
GO
ALTER DATABASE [TestFaceDB] SET ANSI_WARNINGS OFF 
GO
ALTER DATABASE [TestFaceDB] SET ARITHABORT OFF 
GO
ALTER DATABASE [TestFaceDB] SET AUTO_CLOSE OFF 
GO
ALTER DATABASE [TestFaceDB] SET AUTO_CREATE_STATISTICS ON 
GO
ALTER DATABASE [TestFaceDB] SET AUTO_SHRINK OFF 
GO
ALTER DATABASE [TestFaceDB] SET AUTO_UPDATE_STATISTICS ON 
GO
ALTER DATABASE [TestFaceDB] SET CURSOR_CLOSE_ON_COMMIT OFF 
GO
ALTER DATABASE [TestFaceDB] SET CURSOR_DEFAULT  GLOBAL 
GO
ALTER DATABASE [TestFaceDB] SET CONCAT_NULL_YIELDS_NULL OFF 
GO
ALTER DATABASE [TestFaceDB] SET NUMERIC_ROUNDABORT OFF 
GO
ALTER DATABASE [TestFaceDB] SET QUOTED_IDENTIFIER OFF 
GO
ALTER DATABASE [TestFaceDB] SET RECURSIVE_TRIGGERS OFF 
GO
ALTER DATABASE [TestFaceDB] SET  DISABLE_BROKER 
GO
ALTER DATABASE [TestFaceDB] SET AUTO_UPDATE_STATISTICS_ASYNC OFF 
GO
ALTER DATABASE [TestFaceDB] SET DATE_CORRELATION_OPTIMIZATION OFF 
GO
ALTER DATABASE [TestFaceDB] SET TRUSTWORTHY OFF 
GO
ALTER DATABASE [TestFaceDB] SET ALLOW_SNAPSHOT_ISOLATION OFF 
GO
ALTER DATABASE [TestFaceDB] SET PARAMETERIZATION SIMPLE 
GO
ALTER DATABASE [TestFaceDB] SET READ_COMMITTED_SNAPSHOT OFF 
GO
ALTER DATABASE [TestFaceDB] SET HONOR_BROKER_PRIORITY OFF 
GO
ALTER DATABASE [TestFaceDB] SET RECOVERY FULL 
GO
ALTER DATABASE [TestFaceDB] SET  MULTI_USER 
GO
ALTER DATABASE [TestFaceDB] SET PAGE_VERIFY CHECKSUM  
GO
ALTER DATABASE [TestFaceDB] SET DB_CHAINING OFF 
GO
ALTER DATABASE [TestFaceDB] SET FILESTREAM( NON_TRANSACTED_ACCESS = OFF ) 
GO
ALTER DATABASE [TestFaceDB] SET TARGET_RECOVERY_TIME = 0 SECONDS 
GO
EXEC sys.sp_db_vardecimal_storage_format N'TestFaceDB', N'ON'
GO
USE [TestFaceDB]
GO
/****** Object:  Table [dbo].[Users]    Script Date: 2017-11-30 22:09:36 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
SET ANSI_PADDING ON
GO
CREATE TABLE [dbo].[Users](
    [id] [bigint] NOT NULL,
    [name] [varchar](50) NULL,
    [age] [int] NULL,
    [phone] [varchar](50) NULL,
    [password] [varchar](50) NULL,
    [address] [varchar](50) NULL,
    [picture] [varchar](max) NULL,
 CONSTRAINT [PK_Users] PRIMARY KEY CLUSTERED 
(
    [id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]

GO
SET ANSI_PADDING OFF
GO
USE [master]
GO
ALTER DATABASE [TestFaceDB] SET  READ_WRITE 
GO

以上就是准备工作的数据库

二、在VS里面写代码之前我们需要引入一个AForgeDLL文件库

，下载地址：
C#处理视频dll库AForge下载安装版

三、在vs里面新建个项目，名称是：Camtest

新建完项目之后我们在新建个sqlhelper，这个文件是用来操作数据库的，主要是人脸注册和认证以及登陆的时候用。源码在这里：
C#人脸识别——————SqlHelper

新建一个实体类，名称就随便起个吧，我们命名为：Users，源码在这里：

C#人脸识别——————Users

四、人脸检测

接下来我们就开始写窗体，一步一步的来，接着往下看，我们先来整一个人脸检测的玩玩练练手吧：

这个是人脸检测的运行结果图！我们不注重界面的美化，我们只注重功能的实现。接下来我们分析一下这个窗体是由哪些控件组成的！
序号对应控件说明：
1--------------------videoSourcePlayer，所在的dll是Aforge.Controls.Video这个里面，名称是videoSourcePlayer1
2--------------------groupBox控件，名称是groupBox1
3--------------------comboBox控件，名称是comboBoxCameras和picsize
4--------------------button控件，名称是button2和close
5--------------------label控件，名称是（左边从上到下）label3，label6，label8，label10，label12，label14。右边从上到下：label4，label5，label7，label9，label11，label13
6--------------------窗体，名称是facedetection
接着我们看一下这个窗体内部的实现代码：
1.首先引入AForge的命名空间：、

using AForge;
using AForge.Controls;
using AForge.Imaging;
using AForge.Video;
using AForge.Video.DirectShow;

2.加载窗体的时候先检测一遍我们的摄像头：

 // 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;

3.打开摄像头的方法：

 /// <summary>
        /// 打开摄像头
        /// </summary>
        public void openCan()
        {
            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();
        }

4.保存人脸成一张图片，顺便调用人脸检测库：

//保存图片
        private void button2_Click(object sender, EventArgs e)
        {
            if (videoSource == null)
                return;

            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;

            //将图片保存在服务器里面
            bitmap.Save(path + "\\picture\\" + fileName, ImageFormat.Jpeg);
            bitmap.Dispose();

            //进行面部特征识别
            facemodel facem = face_test.FaceDetect(path + "\\picture\\" + fileName);
            this.label4.Text = facem.age;      //年龄
            this.label5.Text = facem.beauty;  //漂亮度
            string expression = facem.expression;//表情
            if (expression.Equals("0"))
            {
                this.label7.Text = "不笑";
            }
            else if (expression.Equals("1"))
            {
                this.label7.Text = "微笑";
            }
            else if (expression.Equals("2"))
            {
                this.label7.Text = "大笑";
            }
            string gender = facem.gender;//性别
            if (gender.Equals("male"))
            {
                this.label9.Text = "男";
            }
            else
            {
                this.label9.Text = "女";
            }
            string glasses = facem.glasses;//是否戴眼镜
            if (glasses.Equals("0"))
            {
                this.label11.Text = "无眼镜";
            }
            else if (glasses.Equals("1"))
            {
                this.label11.Text = "普通眼镜";
            }
            else
            {
                this.label11.Text = "墨镜";
            }
            string race = facem.race;//人种
            if (race.Equals("yellow"))
            {
                this.label13.Text = "黄人";
            }
            else if (race.Equals("white"))
            {
                this.label13.Text = "白人";
            }
            else if (race.Equals("black"))
            {
                this.label13.Text = "黑人";
            }
            else if (race.Equals("arabs"))
            {
                this.label13.Text = "棕人";
            }

        }

在上面的这个方法里面我们需要一个解析json的类，类的源码在：

        [人脸检测解析json的工具类face_test](http://blog.csdn.net/qq_34137397/article/details/78685522)

还有一个model类，类的源码在：

        [人脸检测的model类facemodel](http://blog.csdn.net/qq_34137397/article/details/78685526)

这就是我们主要的功能实现，整个窗体的源码请移步到这里面看：
人脸检测源码facedetection
最后完美运行。

五、人脸注册

1.新建一个窗体，名称是：faceregiste
下面是运行结果：

至于控件什么的我就不说的那么详细了，大家一看就知道用的什么控件了。
2.由于调用的是百度的API，所以需要Api_Key和Secret_Key，关于这两个，大家可以自行百度。所以先声明一下：

        //Api_Key
        public static string Api_Key = "这里是你的Api_Key";
        //Secret_Key
        public static string Secret_Key = "这里是你的Secret_Key ";

3.刷新可用摄像头列表

  //加载项目
        private void faceregiste_Load(object sender, EventArgs e)
        {

            // 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();
        }

5.打开摄像头：

//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();
        }

6.点击注册执行的方法：

 //注册的按钮
        private void register_Click(object sender, EventArgs e)
        {
            Users user = new Users();
            user.name = this.name.Text;
            user.id = DateTime.Now.Ticks / 10000;
            user.password = this.password.Text;
            user.phone = this.phone.Text;
            user.age =(int)this.age.Value;
            user.address = this.address.Text;
            user.picture = SavePicture() ;
            //注册人脸通过的话进去
            if (FaceRegister(user))
            {
                int rel = AddUsers(user);//添加信息
                if (rel > 0)
                {
                    MessageBox.Show("注册成功", "提示信息");
                }
                else
                {
                    MessageBox.Show("添加失败", "提示信息");
                }
            }
        }

7.保存图片的方法：

/// <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;
        }

8.取消按钮的方法：

 //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();
        }

10.用户注册的方法：

/// <summary>
        /// 用户注册
        /// </summary>
        /// <param name="users"></param>
        /// <returns></returns>
        public int AddUsers(Users users)
        {
            int rel = 0;
            string sql = "insert INTO Users VALUES(@id,@name,@age,@phone,@password,@address,@picture)";
            SqlParameter[] param = {
                                        new SqlParameter("@id",users.id),
                                        new SqlParameter("@name",users.name),
                                        new SqlParameter("@age",users.age),
                                        new SqlParameter("@phone",users.phone),
                                        new SqlParameter("@password",users.password),
                                        new SqlParameter("@address",users.address),
                                        new SqlParameter("@picture",users.picture)
                                        
                                   };
            rel = SqlHelper.ExecuteNonQuery(sql, CommandType.Text, param);
            return rel;
        }

11.人脸注册的方法：

 /// <summary>
        /// 人脸注册
        /// </summary>
        /// <param name="picture"></param>
        public static bool FaceRegister(Users user)
        {
            var client = new Baidu.Aip.Face.Face(Api_Key, Secret_Key);
            //当前毫秒数可能是负数，取绝对值
            var image1 = File.ReadAllBytes(user.picture);

            var result = client.User.Register(image1, user.id.ToString(), user.name, new[] { "gr_test" });
            //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);
                return false;
            }
            
            return true;
        }

12.关闭窗体的方法：

 //关闭窗体
        private void faceregiste_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();
        }

源码请到这里来看：
人脸注册源码faceregiste

六、人脸认证

1.新建一个窗体，名称为faceIdentify，其运行结果是：



这些控件的名称我也不多说，基本都能知道，下面我们来介绍一下代码：
2.窗体加载刷新摄像头列表：

 //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();
        }

3.打开摄像头：

//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();
        }

4.签到的按钮：

/// <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);
            }
            
        }

5.人脸识别：

/// <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;

        }

6.保存图片：

 /// <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;
        }

7.根据编号查询用户信息：

/// <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;
        }

源码请在这里面看：
人脸认证源码faceIdentify

七、人脸登陆

1.新建一个窗体，参考如下：

![人脸登陆](https://imgconvert.csdnimg.cn/aHR0cDovL2ltZy5ibG9nLmNzZG4ubmV0LzIwMTcxMjAxMTE1NzM4MDg0)
![人脸登陆](https://imgconvert.csdnimg.cn/aHR0cDovL2ltZy5ibG9nLmNzZG4ubmV0LzIwMTcxMjAxMTE1NzUyMzI1)
2.窗体加载刷新摄像头列表：

//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();
        }

3.打开摄像头：

//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();
        }

4.点击确定的按钮，（人脸登陆）：

/// <summary>
        /// 点击确定的按钮
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button2_Click(object sender, EventArgs e)
        {
            //先获取用户名
            //然后在提取图片
            //先查询用户名，看看有没有该用户名
            //有该用户名的话继续判断人脸对应不，没有的话提示没有该用户
            string name = this.textBox1.Text;
            Users user = QueryUsersByName(name);
            if (((string)(user.name))!="")
            {
                //有该用户，判断摄入的人脸和人脸库中的对比
                FaceVerify(SavePicture(),user);
            }
            else { 
               
                //说明没有该用户，提示用户重新输入用户名
                MessageBox.Show("对不起，检测到没有该用户，请重新输入", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Stop);
            }
            

        }

5.人脸认证【登陆】：

/// <summary>
        /// 人脸认证【登陆】
        /// </summary>
        public  void FaceVerify(string filename,Users users)
        {
            var client = new Baidu.Aip.Face.Face(Api_Key ,Secret_Key);
            var image1 = File.ReadAllBytes(filename);

            var result = client.User.Verify(image1,(users.id).ToString(), new[] { "gr_test" }, 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());
                string resu = jo_age.ToString();
                int num1 = resu.IndexOf("\n") + 2;
                int num2 = resu.LastIndexOf("]") - 8;
                string ids = resu.Substring(num1, num2);
                if (ids != null || !ids.Equals(""))
                {

                    double scores_num = double.Parse(ids);
                    if (scores_num > 80)
                    {
                        MessageBox.Show("登陆成功，已检测到您的信息", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Information);
                    }
                    else
                    {
                        MessageBox.Show("对不起，脸与账户不对应，请换张脸试试", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Stop);
                    }
                }
            }
        }

6.根据编号查询用户信息：

/// <summary>
        /// 根据编号查询用户信息
        /// </summary>
        /// <param name="id"></param>
        /// <returns></returns>
        public static Users QueryUsersByName(string name)
        {
            Users user = new Users();
            string sql = "select * from users where name = @name";
            using (SqlDataReader reader = SqlHelper.ExcuteReader(sql, CommandType.Text, new SqlParameter("@name", name)))
            {
                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;
        }

7.保存图片：

  /// <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;
        }