public static double[][] GetQueryFeaturesSet(Bitmap image, SOMParams somParams)
{
var featExtractor = new Ratha1995MinutiaeExtractor();
var features = featExtractor.ExtractFeatures(image);
var queryFeaturesSet = new double[features.Count][];
for (var i = 0; i < features.Count; i++)
{
// create new sample
var feature = features[i];
queryFeaturesSet[i] = new double[somParams.CharacteristicsCount];
queryFeaturesSet[i][0] = feature.Angle * somParams.AngleMultiplier;
queryFeaturesSet[i][1] = (double)feature.MinutiaType * somParams.TypeMultiplier;
queryFeaturesSet[i][2] = feature.X * somParams.CoordsMultiplier;
queryFeaturesSet[i][3] = feature.Y * somParams.CoordsMultiplier;
queryFeaturesSet[i][4] = feature.GetHashCode() * somParams.HashCodeMultiplier;
}
return queryFeaturesSet;
}
private void ExtractFeatures()
{
var featExtractor = new Ratha1995MinutiaeExtractor();
foreach (var person in existingPeople)
{
var fingerprintOwner = new Person(person);
foreach (var finger in wantedFingers)
{
var fingerprintFinger = new Fingerprint(int.Parse(finger));
foreach (var scan in wantedScans)
{
var fingerprintImg =
ImageLoader.LoadImage(string.Format(@"{0}{1}_{2}_{3}.tif", Folder, person, finger, scan));
var features = featExtractor.ExtractFeatures(fingerprintImg);
var fingerprintScan = new Scan(int.Parse(scan), features);
fingerprintFinger.Scans.Add(fingerprintScan);
}
fingerprintOwner.Fingerprints.Add(fingerprintFinger);
}
People.Add(fingerprintOwner);
}
}
