LATENT FINGERPRINT AND VEIN MATCHING USING RIDGE FEATURE IDENTIFICATION

Rajeswari.P, Sathya.M, Joy Kinshy.P

Abstract: Fingerprint is an impression of friction ridges of the fingers. It has getting better either by enrollment or by the impressions lifted from crime scenes. Latent prints are partial prints, invisible and it had been get from accidental impressions of crime scenes. Minutiae matches had been defined as the points which are marked with 3 different regions like start, end and intersection ridges of the fingerprints. For an authentication system, full-to-full matching fingerprint are efficient. But it is not efficient in latent-to-full matching fingerprints. In our proposed system, latent-to-full matching fingerprint must be efficient with the distance had been calculated with in the minutiae points by using 8x8 Gabor filter, using this spatial frequencies had been calculated. In this case, the spoof attacks had been occurred. To reduce these attacks, we propose an algorithm, Ridge Feature Identification and it may combine the work of taking distance minutiae calculation and the finger-vein matching to become the system more efficient and provides the liveliness in the authentication system

Keywords: Fingerprint, Latent prints, Ridge Feature Identification, Minutiae matches, Finger-vein

DOI: https://doi.org/10.15623/ijret.2014.0319004