A new automated fingerprint identification system

A new automated fingerprint identification system is proposed. In this system, based on some local properties of digital image, the shape and minutiae features of fingerprint can be extracted from the grey level image without binarizing and thinning. In query, a latent fingerprint can be matched with the filed fingerprints by shape and/or minutiae features. Matching by shape features is much faster than by minutiae.