Fingerprint Recognition Using Level 3 Features

Abstract

Fingerprints are a great source for identification of individuals. It is one of the oldest form of biometric identification. Fingerprint friction ridge details are generally described in a hierarchical order at three different levels,namely,Level1(pattern),Level2(minutia points),and Level 3(Pores and ridges contour) Although latent print examiners frequently take advantage of Level 3 features to assist in identification, Automated Fingerprint Identification Systems (AFIS) currently rely only on Level 1 and Level 2 features. Level 3 features carry significant discriminatory information. In our project we have presented an automated Fingerprint recognition system which uses level 3 features in combination with level 2 features which makes a matching system more accurate, efficient and beneficial.