private static List <Minutiae> TransformMinutiaes(List <Minutiae> m, TranslationVotes o)
{
List <Minutiae> transformedMinutiae = new List <Minutiae>();
foreach (Minutiae minutiae in m)
{
transformedMinutiae.Add(new Minutiae(minutiae.X + o.DeltaX, minutiae.Y + o.DeltaY, minutiae.Angle + o.DeltaTheta, minutiae.Type));
}
return(transformedMinutiae);
}
private void IncrementVotes(int x, int y, double theta)
{
TranslationVotes translationVotes = Search(x, y, theta);
if (translationVotes != null)
{
translationVotes.Votes++;
}
else
{
translation.Add(new TranslationVotes(x, y, theta));
}
}
public void Check(int x, int y, double theta)
{
TranslationVotes translationVotes = Search(x, y, theta);
if (translationVotes != null)
{
translationVotes.Votes++;
//translationVotes.Votes++;
CheckNeighberhood(x, y, theta);
}
else
{
translation.Add(new TranslationVotes(x, y, theta));
}
}
public static bool IsIdentical(List <Minutiae> m1, List <Minutiae> m2, TranslationVotes optimalTransform)
{
int tolerance = Convert.ToInt32(Math.Round(m1.Count * percentTolerance));
int matchedMinutiaes = 0;
List <Minutiae> transformed = TransformMinutiaes(m2, optimalTransform);
foreach (Minutiae minutiae1 in m1)
{
foreach (Minutiae minutiae2 in m2)
{
if (Overlap(minutiae1, minutiae2) && minutiae2.IsMatching == false)
{
minutiae2.IsMatching = true;
matchedMinutiaes++;
break;
}
}
}
return(matchedMinutiaes >= tolerance);
}
public TranslationVotes GetTranslationVotesByMaxVotes()
{
TranslationVotes translationVotes = translation.OrderByDescending(tv => tv.Votes).First();
return(translationVotes);
}
