Abstract

Latent fingerprints are partial impressions of the finger inadvertently left behind on the surface of objects when they are touched or handled. It is not usually visible to the naked eye but may be detected with some chemical and physical methods. In crime scenes and forensic evidence latent fingerprints play an important role. Similarly latent fingerprint matching also plays an important role in identifying suspects and criminals. In most latent fingerprint matching techniques orientation field reconstruction and alignment techniques are considered. The proposed work uses a robust reconstruction algorithm using minutiae features in enhanced feedback mechanism for automatic latent fingerprint matching to increase the authentication rate. The main contribution of this work is to reduce the spurious minutiae and improve the matching accuracy of automatic latent fingerprint matching.

Authors and Affiliations