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A novel two stage cascading algorithm for fingerprint recognition is proposed combining minutiae based classifier with orientation based classifier. Fingerprint images are classified at the first stage by using the minutiae based method presented in this paper. At the second stage, there is a small probability in application that both the results of minutiae and orientation based matchers are utilized as inputs of the higher stage classification system. Experiments have been conducted on public database of fingerprint images and the results reveal that the approach described in this paper can achieve good performance with higher accuracy and better efficiency.

A Novel Two stage Cascading Algorithm for Fingerprint Recognition