public BitmapVector GetClosestMatch(BitmapVector v)
{
if (vectors.Count == 0)
{
throw new CaptchaSolverException("There are no patterns loaded to match a sample pattern to!");
}
int index = 0;
double best = BitmapVector.RootMeanSquareDistance(vectors[0].Scale(), v.Scale());
//vectors[0].GetBitmap().Save("getmatch-a--" + index.ToString() + ".bmp");
//v.GetBitmap().Save("getmatch--b-" + index.ToString() + ".bmp");
//(vectors[0].Scale() - v.Scale()).GetBitmap().Save("getmatch-ab-" + index.ToString() + ".bmp");
//for (int i = 1; i < vectors.Count; i++)
Parallel.For(1, vectors.Count, i =>
{
//vectors[i].GetBitmap().Save("getmatch-a--" + i.ToString() + ".bmp");
//v.GetBitmap().Save("getmatch--b-" + i.ToString() + ".bmp");
//(vectors[i].Scale() - v.Scale()).GetBitmap().Save("getmatch-ab-" + i.ToString() + ".bmp");
double test = BitmapVector.RootMeanSquareDistance(vectors[i].Scale(), v.Scale());
if (test < best)
{
best = test;
index = i;
}
});
return(vectors[index]);
}
public BitmapVector GetClosestMatch(BitmapVector v)
{
if (vectors.Count == 0)
{
throw new CaptchaSolverException("There are no patterns loaded to which a sample pattern may be matched!");
}
int index = 0;
double best = BitmapVector.RootMeanSquareDistance(vectors[0].Scale(), v.Scale());
Parallel.For(1, vectors.Count, i =>
{
double test = BitmapVector.RootMeanSquareDistance(vectors[i].Scale(), v.Scale());
if (test < best)
{
best = test;
index = i;
}
});
return(vectors[index]);
}