recognitioon

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Windows.Forms;
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.CV.CvEnum;
using System.IO;
using System.Diagnostics;
using System.Data.SqlClient;

namespace ViolaJones
{
    public partial class FaceRecognition : Form
    {
        Image<Bgr, Byte> currentFrame;
        Capture grabber;
        HaarCascade face;
        HaarCascade eye;
        MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
        Image<Gray, byte> result, TrainedFace = null;
        Image<Gray, byte> gray = null;
        List<Image<Gray, byte>> trainingImages = new List<Image<Gray, byte>>();
        List<string> labels = new List<string>();
        List<string> NamePersons = new List<string>();
        int ContTrain, NumLabels, t;
        string name, names = null;
        string textname = null;
        string textimage = null;
        SqlConnection Connection = new SqlConnection();
        SqlDataAdapter DataSames;
        SqlDataAdapter DataAdapter;
        SqlDataAdapter DataCount;
        DataTable TSTable = new DataTable();

        private string datacount()
        {
            string dups = "";
            int cnt = 0;
            int clm = 0;
            string namep = "";
            string txt = "";
            int idp = 0;

            DataCount = new SqlDataAdapter("select nim,nama,kelas  from image order by nim asc ", Connection);

            SqlCommandBuilder CommandBuilder = new SqlCommandBuilder(DataCount);
            dups ="";
            DataTable TSSames = new DataTable();
            DataCount.Fill(TSSames);
            if (TSSames.Rows.Count > 0)
            {
                cnt = TSSames.Rows.Count * 5;
                clm = TSSames.Rows.Count - 1;
                int np = 0;
                foreach (DataRow row in TSSames.Rows)
                {
                    namep = TSSames.Rows[np]["nim"].ToString();
                    for (int i = 1; i < 6; i++)
                    {
                        txt = txt + namep + "%";
                    }
                    np=np+1;
                }



                dups = cnt.ToString() + "%" + txt ;
            }
            return dups;
        }

        private string dataimage()
        {
            string dups = "";
            int cnt = 0;
            int clm = 0;
            string namep = "";
            string txt = "";
            DataCount = new SqlDataAdapter("select nim,nama,kelas  from image order by nim asc ", Connection);
            SqlCommandBuilder CommandBuilder = new SqlCommandBuilder(DataCount);
            dups = "";
            DataTable TSSames = new DataTable();
            DataCount.Fill(TSSames);
            if (TSSames.Rows.Count > 0)
            {
                cnt = TSSames.Rows.Count * 5;
                clm = TSSames.Rows.Count - 1;
                int np = 0;
                foreach (DataRow row in TSSames.Rows)
                {
                    namep = TSSames.Rows[np]["nim"].ToString();
                    for (int i = 1; i < 6; i++)
                    {
                        string curFile = Application.StartupPath + "/gambar/" + namep + i + ".bmp";
                        if (File.Exists(curFile))
                        {
                            txt = txt + namep + i + "%";
                        }
                        else
                        {
                            txt = txt + namep + "1%";
                        }


                    }
                    np = np + 1;
                }
                dups = cnt.ToString() + "%" + txt;
            }
            return dups;
        }

         private void datamhs( string nhs)
        {
            string nim = null;
            DataCount = new SqlDataAdapter("select nim,nama,kelas  from image where nim='" + nhs +"'", Connection);
            SqlCommandBuilder CommandBuilder = new SqlCommandBuilder(DataCount);
            DataTable TSSames = new DataTable();
            DataCount.Fill(TSSames);
            if (TSSames.Rows.Count > 0)
            {
                nim = TSSames.Rows[0]["nim"].ToString();
                label10.Text = nim;
                label1.Text = TSSames.Rows[0]["nama"].ToString();
                label6.Text = TSSames.Rows[0]["kelas"].ToString();

                pictureBox1.Image = null;
                pictureBox1.Image = Image.FromFile(Application.StartupPath + "/gambar/" + nim + "1.bmp");
            }
        }

        public FaceRecognition()
        {
            InitializeComponent();

        }

        private void FaceRecognition_Load(object sender, EventArgs e)
        {
            Connection.ConnectionString = "Server=IK-PC; Initial Catalog=viola; Integrated Security=true";
            Connection.Open();
            string ns = datacount();
            face = new HaarCascade("haarcascade_frontalface_default.xml");
            txtthreshold.Enabled = true;
            txtthreshold.Text = "3000";
            try
            {
                textname = datacount();
                textimage = dataimage();
                string Labelsinfo = textname;
                string[] Labels = Labelsinfo.Split('%');
                NumLabels = Convert.ToInt16(Labels[0]);
                ContTrain = NumLabels;
                string imgnameinfo = textimage;
                string[] ImgName = imgnameinfo.Split('%');
                string LoadFaces;

                for (int tf = 1; tf < NumLabels + 1; tf++)
                {
                    LoadFaces = ImgName[tf] + ".bmp";
                    trainingImages.Add(new Image<Gray, byte>(Application.StartupPath + "/gambar/" + LoadFaces));
                    labels.Add(Labels[tf]);

                }

            }
            catch (Exception ex)
            {
                //MessageBox.Show(e.ToString());
            }
        }

        private void button1_Click(object sender, EventArgs e)
        {
            grabber = new Capture();
            grabber.QueryFrame();
            Application.Idle += new EventHandler(FrameGrabber);
            button1.Enabled = false;
            button2.Enabled = true;

        }
        void FrameGrabber(object sender, EventArgs e)
        {
            NamePersons.Add("");
            int thres = 10;
            if (txtthreshold.Text != "")
            {
                thres = Convert.ToInt16(txtthreshold.Text);
            }
            currentFrame = grabber.QueryFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);

            gray = currentFrame.Convert<Gray, Byte>();

            MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(
          face,
          1.2,
          10,
          Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
          new Size(20, 20));

            foreach (MCvAvgComp f in facesDetected[0])
            {
                t = t + 1;
                result = currentFrame.Copy(f.rect).Convert<Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
                currentFrame.Draw(f.rect, new Bgr(Color.Red), 2);


                if (trainingImages.ToArray().Length != 0)
                {
                    DateTime start = DateTime.Now;
                    MCvTermCriteria termCrit = new MCvTermCriteria(ContTrain, 0.001);

                    EigenObjectRecognize recognizer = new EigenObjectRecognize(
                       trainingImages.ToArray(),
                       labels.ToArray(),
                       3000,
                       ref termCrit);

                    name = recognizer.Recognize(result);

                    currentFrame.Draw(name, ref font, new Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(Color.LightGreen));

                    lblkecepatan .Text = Math.Round((DateTime.Now - start).TotalSeconds , 3).ToString() + " seconds.";

                }

                NamePersons[t - 1] = name;
                NamePersons.Add("");

            }
            t = 0;

            string nim = null;
            for (int nnn = 0; nnn < facesDetected[0].Length; nnn++)
            {
                names = names + NamePersons[nnn] + ", ";
                nim = NamePersons[0];
            }
            imageBoxFrameGrabber.Image = currentFrame;
            label4.Text = names;
            label10.Text = "";
            label1.Text = "";
            label6.Text = "";
            pictureBox1.Image = null;
            if (nim != "")
            {
                datamhs(nim);
            }
            else
            {
                label10.Text = "";
                label1.Text = "";
                label6.Text = "";
                pictureBox1.Image = null;
            }

            names = "";
            NamePersons.Clear();

        }

        private void button2_Click(object sender, EventArgs e)
        {
            MessageBox.Show(trainingImages.Count.ToString());
        }

        private void button2_Click_1(object sender, EventArgs e)
        {
            Connection.Close();
            this.Close();
        }
    }
}