Detection and Prevention of Fingerprint Altering / Spoofing Based On Pores (Level-3) With The Help of Multimodal Biometrics

The concept of spoofing focus on altering fingerprint, which become a serious issue concern of fingerprint recognition system. This project work brings a new approach to sense and detect fake fingers, based on the analysis of fingerprint pores and its extraction. Making fake fingerprint now days an open matter for identifying fingerprint systems. In this case submitting an artificial fingerprint clone from a genuine user. Present sensors provide an image which is then processed as a true fingerprint. this isso- called 3rd-level features, namely, pores, which are visible in high-resolution fingerprint image mostly 500/1000 ppi, have been used for matching. In this paper, we propose to analyze pores location for characterizing the liveness of fingerprints. There are several features identifying a fingerprint which is Level-1 (pattern), Level-2 Minutia, Lvel-3 (Pores and ridge counters). AFIS (Automated Fingerprint Identification System currently uses level 1 and level 2 features. The 3 level features allow you to scan 1000 ppi and extract all features along with pores and ridges using gabor and transform filters. It also uses the dual matching logic where we can user the combination of finger + face/iris to authenticate or prevent spoofing.