public void TestThinning()
{
for (int i = 0; i < 20; i++)
{
var fp = new FingerprintProcessor();
int[,] mask;
var image = ImageHelper.LoadImage(Resources.SampleFinger1);
int rows = image.GetLength(0);
int columns = image.GetLength(1);
var src = image.Select2D(x => (float)x).Make1D();
Stopwatch sw = new Stopwatch();
sw.Start();
var result = fp.SegmentImage(src, rows, columns, out mask, true);
result = fp.BinarizeImage(result, rows, columns, true);
result = fp.ThinImage(result, rows, columns, true);
sw.Stop();
Trace.WriteLine("Binarization with GPU took " + sw.ElapsedMilliseconds + " ms");
var path = Constants.Path + Guid.NewGuid() + ".png";
ImageHelper.SaveArray(result.Make2D(rows, columns).Select2D(x => (double)x), path);
Process.Start(path);
}
}
public void TestMinutiaExtraction()
{
for (int i = 0; i < 20; i++)
{
var fp = new FingerprintProcessor();
int[,] mask;
var image = ImageHelper.LoadImage(Resources.SampleFinger1);
int rows = image.GetLength(0);
int columns = image.GetLength(1);
Stopwatch sw = new Stopwatch();
sw.Start();
var src = image.Select2D(x => (float)x).Make1D();
int regionSize = 17;
int overlap = 1;
var result = fp.SegmentImage(src, rows, columns, out mask, true);
FingerprintProcessor.Enhance(result, columns, rows);
var orField = fp.MakeOrientationField(result, rows, columns, regionSize, overlap, true);
int orFieldWidth = columns / (regionSize - overlap);
int orFieldHeight = rows / (regionSize - overlap);
result = fp.BinarizeImage(result, rows, columns, true);
result = fp.ThinImage(result, rows, columns, true);
List<Minutia> mins = fp.FindMinutiae(result, rows, columns, orField, orFieldHeight, orFieldWidth, mask);
sw.Stop();
Trace.WriteLine("Binarization with GPU took " + sw.ElapsedMilliseconds + " ms");
var path = Constants.Path + Guid.NewGuid() + ".png";
ImageHelper.MarkMinutiaeWithDirections(Resources.SampleFinger1, mins, path);
Process.Start(path);
}
}