Fingerprint Matching Relying on Minutiae Hough Clusters

  K. Abbad (1) , N. Assem (2) , H. Tairi (3) and A. Aarab (1)

(1) Faculty of Science Dhar El Mahraz, LESSI Department of Physics, BP 1796 Fez Morocco

(2) S chool of Science & Engineering, Al Akhawayn University, Ifrane , Morocco

(3) Faculty of Science Dhar El Mahraz, LIIAN Department of Informatics, BP 1796 Fez Morocco

Abstract

In this paper, we present an algorithm for fingerprint verification based on global alignment and minutiae-centered circular regions. Minutiae-centered circular matching ensures higher matching speed and robustness to non-linear distortion. This matching is based on finding the first pair of corresponding regions and then finding other pairs of corresponding minutiae in the images. Our approach consists of finding the best alignment between input minutiae and template minutiae using Hough-Matching [1], and then the sets of matched minutiae will be used as input to the minutiae-centered circular regions matching algorithm [2]. The experimental results show higher performance using the Hough matching and the matching circular regions algorithms on the public Database FVC2002 db2 .

Keywords: Alignment, Biometrics, Circular regions, Fingerprint matching, Hough-matching, Minutiae

 (P1150928805, 1.1 MB)