Advanced methods for two-class pattern recognition problem formulation for minutiae-based FingerPrint verification

We present a new method for minutiae-based fingerprint verification that approaches the problem as a two-class pattern recognition problem. In our knowledge, this is one of the first works that uses as features for fingerprint verification the response of a minutiae matcher between two fingerprint. The feature vector obtained by the minutiae matching is classified into “genuine” or “impostor” by Support Vector Machines. Results from FVC2002 are presented, yielding remarkable performance improvement with respect to other state-of-the-art approaches.