Abstrato

Separation of Overlapped Fingerprints for Forensic Applications

J.Vanitha, S.Thilagavathi

Normally, fingerprint images contain a single fingerprint or a set of non overlapped fingerprints. There may be situations where overlapped fingerprint can be obtained. It can be frequently encountered in the latent fingerprint lifted from crime scenes. It is essential to separate those overlapped fingerprint into its component fingerprints. The challenging work in separating overlapped fingerprint is the separation of mixed orientation field into its component orientation field. In this paper, Relaxation labelling algorithm is proposed to perform the task of separation. Initially, we use Local fourier analysis method in order to estimate the initial orientation field. Then Relaxation labelling algorithm is employed to detach the initial orientation field. Finally, by using Gabor filter the required component fingerprints are obtained.