A new fingerprint classfication method is presented, which uses singular points and the distribution of directional patterns in a fingerprint image. In this method, a directional pattern is extracted from a 16×16 fingerprint block image using the mic...
A new fingerprint classfication method is presented, which uses singular points and the distribution of directional patterns in a fingerprint image. In this method, a directional pattern is extracted from a 16×16 fingerprint block image using the micro patterns. Next, singular points are founded in the directional patterns of fingerprint image using the micro directional patterns. Then an input fingerprint image can be classified into one of 6 categories using the number of singular points, its location, and the distribution of directional patterns. The experimental results show that the proposed method is capable of classifying input fingerprints into one of 6 categories.