The several patterns and classifications techniques used in biometric domain. The original object devised recognized in scale invariant feature. Among them, an interesting technique is the Scale Invariant Feature Transform (SIFT), originally devised for object recognition. Even if SIFT features have emerged as a very powerful image descriptors, their employment in face analysis context has never been systematically investigated. This paper investigates the application of the SIFT approach in the context of face authentication. In order to determine The real potential and applicability of the method, different matching schemes are proposed and tested using the BANCA database and protocol, showing promising results. The spatial and frequency domains, reducing the probability of disruption by occlusion, clutter, or noise. Large numbers of features can be extracted from typical images with efficient algorit