An efficient fingerprint minutiae detection algorithm

Abstract

Fingerprint is one of the most preferred biometric traits for automatic human authentication. Similarity between two fingerprints is determined by matching, which is mostly dependent on the properties of minutiae points. A false minutiae that can be induced due to bad quality of fingerprint or erroneous evaluation of localization algorithm adversely affects the performance of the system. This paper proposes an algorithm to extract the true minutiae from fingerprint images. Extraction of minutiae points involves background suppression, image enhancement, binarization, thinning, minutiae localization, and cleaning. Experimental results on two databases have shown that the proposed algorithm has higher accuracy of being true.