Fingerprint Recognition and Identification by Minutiae Detection and Phase Spectrum Analysis Algorithm

In this paper fingerprints are identified with the help of minutiae detection and phase spectrum analysis. This algorithm represents the fingerprint by calculating Minutiae & its local features, like terminations, bifurcations and Phase spectrum of all minutiae. The phase spectrum is calculated to characterize the minutiae structure in the neighborhood of a given minutia point. This is very good technique for fingerprint matching as algorithms gives excellent results. The matcher performs fairly accurate fingerprint matching for minutiae-based verification systems.