public IEnumerable <Match> Match(IStoreProvider <TFeature> storage, Bitmap bitmap, int skip, int take)
{
var extract = Extract(ImageProvider.AdaptImage(bitmap));
var list = new List <Match>();
foreach (var candidate in storage.GetCandidates(skip, take))
{
var retrieved = storage.Retrieve(candidate);
var score = Match(extract, retrieved, out var matchingMtiae);
if (Math.Abs(score) < double.Epsilon || matchingMtiae == null)
{
continue;
}
if (matchingMtiae.Count > 10)
{
list.Add(new Match
{
Confidence = score,
EntryId = candidate,
MatchingPoints = matchingMtiae.Count
});
}
}
return(list);
}
public override MtripletsFeature Extract(Bitmap image)
{
var minutiae = MinutiaeExtractor.ExtractFeatures(ImageProvider.AdaptImage(image));
var mtriplets = new List <MTriplet>();
var triplets = new Dictionary <int, int>();
foreach (var triangle in Delaunay2D.Triangulate(minutiae))
{
var idxArr = new[]
{
(short)triangle.A,
(short)triangle.B,
(short)triangle.C
};
var newMTriplet = new MTriplet(idxArr, minutiae);
var newHash = newMTriplet.GetHashCode();
if (!triplets.ContainsKey(newHash))
{
triplets.Add(newHash, 0);
mtriplets.Add(newMTriplet);
}
}
mtriplets.TrimExcess();
return(new MtripletsFeature(mtriplets, minutiae));
}
public void Store(IStoreProvider <TFeature> storage, Bitmap bitmap, string subjectId)
{
var extract = Extract(ImageProvider.AdaptImage(bitmap));
storage.Add(new Candidate <TFeature>
{
EntryId = subjectId,
Feautures = extract
});
}
