Fingerprint Recongnition Using Espatial Minutae Information

Abstract

A fingerprint is the visible impression or molded that papillary produces with the papillary crest contact in a surface. It depends on the conditions under which the fingerprint is made, and the support characteristics (plastics or soft matters in due conditions), however, it is an individual characteristic that is used as a main pattern for people identification. In this research the image enhancement is carry out using FFT (Fast Fourier Transform) and Gabor filters, the minutiae extraction approach is done to obtain a characteristic vector which has distance, angle and minutiae coordinates those vectors will be used for training and recognition.