// Function To Match All The Features Of Current User Hand Image With All The Features Stored In The Database
void features_match()
{
// Counts The Features
matchedfeatures_count = 0;
int i = 0;
// Matches Each Feature In Vector Of Key Points With The Features In Stored In The Database
if (Details.modelKeyPoints.Size == features_datatable.Rows.Count)
{
while (i < Details.modelKeyPoints.Size)
{
if (Convert.ToDouble(Details.modelKeyPoints[i].Angle) == Convert.ToDouble(features_datatable.Rows[i].Field <Double>(2)) && Convert.ToDouble(Details.modelKeyPoints[i].ClassId) == Convert.ToDouble(features_datatable.Rows[i].Field <Double>(3)) && Convert.ToDouble(Details.modelKeyPoints[i].Octave) == Convert.ToDouble(features_datatable.Rows[i].Field <Double>(4)) && Convert.ToDouble(Details.modelKeyPoints[i].Point.X) == Convert.ToDouble(features_datatable.Rows[i].Field <Double>(5)) && Convert.ToDouble(Details.modelKeyPoints[i].Point.Y) == Convert.ToDouble(features_datatable.Rows[i].Field <Double>(6)) && Convert.ToDouble(Details.modelKeyPoints[i].Response) == Convert.ToDouble(features_datatable.Rows[i].Field <Double>(7)) && Convert.ToDouble(Details.modelKeyPoints[i].Size) == Convert.ToDouble(features_datatable.Rows[i].Field <Double>(8)))
{
i++;
matchedfeatures_count += 1;
}
}
ImageMatchingProgressBarControl.PerformStep();
ImageMatchingProgressBarControl.Update();
}
else
{
non_matched_userid_count += 1;
}
}
// Function To Get All The Features Stored In The Database For Each User
void getFeatures(string UID)
{
// Creates SQL Connection
SqlConnection connection = new SqlConnection(HandVeinPattern.Properties.Settings.Default.HandVeinPatternConnectionString);
// Creates SQL Command
SqlCommand command = new SqlCommand();
// Opens The SQL Connection
connection.Open();
// Exception Handling
try
{
command = connection.CreateCommand();
command.CommandText = "SELECT FeatureID, UserID, Angle, ClassID, Octave, PointX, PointY, Response, Size FROM Features WHERE UserID = '" + UID + "'";
// Data Adapter To Read Data From Database Using SQL Command
SqlDataAdapter adapter = new SqlDataAdapter(command);
// Creates An Instance OF DataTable
features_datatable = new DataTable();
// Fills The DataTable Using The Adapter
adapter.Fill(features_datatable);
command.ExecuteNonQuery();
}
catch (Exception)
{
// Displays The Exception
throw;
}
finally
{
// Checks The State Of Connection
if (connection.State == ConnectionState.Open)
{
// Closes The Connection
connection.Close();
}
}
ImageMatchingProgressBarControl.PerformStep();
ImageMatchingProgressBarControl.Update();
}
// Function To Get All The Users ID From The Database
void getUserID()
{
// Creates SQL Connection
SqlConnection connection = new SqlConnection(HandVeinPattern.Properties.Settings.Default.HandVeinPatternConnectionString);
// Creates SQL Command
SqlCommand command = new SqlCommand();
// Opens The SQL Connection
connection.Open();
// Exception Handling
try
{
command = connection.CreateCommand();
command.CommandText = "SELECT ID FROM USERS";
// Data Adapter To Read Data From Database Using SQL Command
SqlDataAdapter adapter = new SqlDataAdapter(command);
// Creates An Instance OF DataTable
userID_datatable = new DataTable();
// Fills The DataTable Using The Adapter
adapter.Fill(userID_datatable);
command.ExecuteNonQuery();
}
catch (Exception)
{
// Displays The Exception
throw;
}
finally
{
// Checks The State Of Connection
if (connection.State == ConnectionState.Open)
{
// Closes The Connection
connection.Close();
}
}
ImageMatchingProgressBarControl.PerformStep();
ImageMatchingProgressBarControl.Update();
}
// Match Button Click Event
private void MatchBarButtonItem_ItemClick(object sender, DevExpress.XtraBars.ItemClickEventArgs e)
{
getUserID();
for (int i = 0; i < userID_datatable.Rows.Count; i++)
{
_userID = userID_datatable.Rows[i].Field <string>(0).ToString();
getFeatures(_userID);
features_match();
if (matchedfeatures_count == Details.modelKeyPoints.Size)
{
Details.matchedID = _userID;
displayResult(_userID);
//ArduinoSerialPort.WriteLine("1");
ImageMatchingProgressBarControl.PerformStep();
ImageMatchingProgressBarControl.Update();
break;
}
}
if (non_matched_userid_count == userID_datatable.Rows.Count)
{
MessageBox.Show("User Doesn't Exists.", "No Records Found", MessageBoxButtons.OK, MessageBoxIcon.Warning);
//ArduinoSerialPort.WriteLine("0");
}
ImageMatchingProgressBarControl.PerformStep();
ImageMatchingProgressBarControl.Update();
}
// Function To Diplay The Results Of Current User From The Database.
void displayResult(string id)
{
// Creates SQL Connection
SqlConnection connection = new SqlConnection(HandVeinPattern.Properties.Settings.Default.HandVeinPatternConnectionString);
// Creates SQL Command
SqlCommand command = new SqlCommand();
// Opens The SQL Connection
connection.Open();
// Exception Handling
try
{
command = connection.CreateCommand();
command.CommandText = "SELECT * FROM USERS WHERE ID ='" + id + "'";
// Data Adapter To Read Data From Database Using SQL Command
SqlDataAdapter adapter = new SqlDataAdapter(command);
// Creates An Instance OF DataTable
Details.matchedUserDetails = new DataTable();
// Fills The DataTable Using The Adapter
adapter.Fill(Details.matchedUserDetails);
command.ExecuteNonQuery();
}
catch (Exception)
{
// Displays The Exception
throw;
}
finally
{
// Checks The State Of Connection
if (connection.State == ConnectionState.Open)
{
// Closes The Connection
connection.Close();
}
}
// Displays The Matched Results
UserIDResultLabel.Text = Details.matchedUserDetails.Rows[0].Field <string>(0).ToString();
UserTitleResultLabel.Text = Details.matchedUserDetails.Rows[0].Field <string>(5).ToString();
if (Details.matchedUserDetails.Rows[0]["Image"] != DBNull.Value)
{
photo_array = (byte[])Details.matchedUserDetails.Rows[0]["Image"];
MemoryStream memorystream = new MemoryStream(photo_array);
ResultImagePictureEdit.Image = Image.FromStream(memorystream);
}
ImageMatchingProgressBarControl.PerformStep();
ImageMatchingProgressBarControl.Update();
}
private void ProcessImageBarButtonItem_ItemClick(object sender, DevExpress.XtraBars.ItemClickEventArgs e)
{
Details.sourceimagehand = new Mat(Details.imagefilepath, LoadImageType.Grayscale);
Details.whitebalance = new Mat();
CvInvoke.BalanceWhite(Details.sourceimagehand, Details.whitebalance, WhiteBalanceMethod.Simple, 0f, 255f, 0f, 255f);
Directory.CreateDirectory(@"D:\Eighth Semester\HandVeinPattern\\RuntimeDirectory");
Details.adaptivethreshold = new Mat();
CvInvoke.AdaptiveThreshold(Details.whitebalance, Details.adaptivethreshold, 255, AdaptiveThresholdType.GaussianC, ThresholdType.Binary, 11, -3);
CvInvoke.Imwrite(@"D:\Eighth Semester\HandVeinPattern\RuntimeDirectory\AdaptiveThreshold.jpg", Details.adaptivethreshold);
opencvwrapper.process();
Details.maskedimage = new Mat();
Details.maskedimage = new Mat(@"D:\Eighth Semester\HandVeinPattern\RuntimeDirectory\ResultImage.jpg", LoadImageType.Grayscale);
Details.erode_step1 = new Mat();
Details.erode_step2 = new Mat();
CvInvoke.MorphologyEx(Details.maskedimage, Details.erode_step1, MorphOp.Erode, CvInvoke.GetStructuringElement(ElementShape.Ellipse, new Size(3, 3), new Point(-1, -1)), new Point(-1, -1), 9, BorderType.Constant, new MCvScalar(0));
CvInvoke.MorphologyEx(Details.erode_step1, Details.erode_step2, MorphOp.Erode, CvInvoke.GetStructuringElement(ElementShape.Ellipse, new Size(3, 3), new Point(-1, -1)), new Point(-1, -1), 7, BorderType.Constant, new MCvScalar(0));
Details.laplacian = new Mat();
CvInvoke.Laplacian(Details.sourceimagehand, Details.laplacian, DepthType.Cv8U, 11, 1.0, 0.0, BorderType.Constant);
Details.multipliedimage = new Mat();
Mat _newFilteredImage = new Mat();
CvInvoke.Multiply(Details.laplacian, Details.maskedimage, _newFilteredImage, 1.0, DepthType.Cv8U);
CvInvoke.Multiply(Details.laplacian, Details.erode_step2, Details.multipliedimage, 1.0, DepthType.Cv8U);
Mat newsource = new Mat();
newsource = Details.multipliedimage.Clone();
Details.thinnedimage = new Mat();
CvInvoke.Threshold(newsource, Details.thinnedimage, 10, 255, ThresholdType.Binary);
CvInvoke.Imwrite(@"D:\Eighth Semester\HandVeinPattern\RuntimeDirectory\MultipliedImage.jpg", Details.thinnedimage);
thinningopencvwrapper.process();
Details.thinnedimage = new Mat();
Details.thinnedimage = new Mat(@"D:\Eighth Semester\HandVeinPattern\RuntimeDirectory\ThinnedImage.jpg", LoadImageType.Grayscale);
Details.keypointsimage = new Mat();
Details.keypointsimage = PutFeaturesOnImage();
ProcessedImagePictureEdit.Image = Details.keypointsimage.Bitmap;
ImageMatchingProgressBarControl.PerformStep();
ImageMatchingProgressBarControl.Update();
}
