MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX,0.6d,0.6d); not working

public partial class Biometric : Form{    MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, 0.6d, 0.6d);    HaarCascade faceDetected;    Image<Bgr, Byte> frame;    Capture camera;    Image<Gray, byte> result;    Image<Gray, byte> trainedFace = null;    Image<Gray, byte> grayFace = null;    List<Image<Gray, byte>> trainingImage = new List<Image<Gray, byte>>();    List<string> labels = new List<string>();    List<string> users = new List<string>();    int count, numLabeles, t;    string name, names = null;        public Biometric()    {        InitializeComponent();        student = LoadDetails(Register.StudentId);        StartWebcam();    }        private void StartWebcam()    {        try        {            faceDetected = new HaarCascade("haarcascade_frontalface_default.xml");            camera = new Capture();            camera.QueryFrame();            Application.Idle += new EventHandler(FrameProcedure);        }        catch (Exception ex)        {            MessageBox.Show(ex.Message);        }    }         private void FrameProcedure(object sender, EventArgs e)    {        users.Add("");        frame = camera.QueryFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);        grayFace = frame.Convert<Gray, Byte>();        MCvAvgComp[][] faceDetectedNow = grayFace.DetectHaarCascade(faceDetected, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20));         if (faceDetectedNow[0].Count() > 1)        {            AbortRegistraction(student.StudentId);            LogEvent(student.StudentId, "Two person detected. registration aborted");            MessageBox.Show("Two person detected. registration aborted");            Login login = new Login();            login.Show();            this.Close();        }         foreach (MCvAvgComp f in faceDetectedNow[0])        {            result = frame.Copy(f.rect).Convert<Gray, Byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);            frame.Draw(f.rect, new Bgr(Color.Green), 3);            if (trainingImage.ToArray().Length != 0)            {                MCvTermCriteria termCriterias = new MCvTermCriteria(count, 0.001);                EigenObjectRecognizer recognizer = new EigenObjectRecognizer(trainingImage.ToArray(), labels.ToArray(), 1500, ref termCriterias);                name = recognizer.Recognize(result);                frame.Draw(name, ref font, new Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(Color.Red));            }            users.Add("");        }        cameraBox.Image = frame;        name = "";        users.Clear();    }}