ConferencePaper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  (2009)

A new fingerprint matching algorithm based on minimum cost function

Avila, A., I; Muci A.

Keywords: algorithm, costs, cost, algorithms, set, minimum, biometrics, matching, fingerprint, reference, Functions, Minutia

Abstract

We develop new minutia-based fingerprint algorithms minimizing a cost function of distances between matching pairs. First, using the minutia type or minutia quality, we choose a reference set of points form each set. next, we create the set of combinations of pairs to perform the best alignment and finally the matching by distances is computed. We tested our algorithm using the DB2A FVC2004 database extracting the minutia information by the mindtct program given by NBIS and we compare with the bozorth3 algorithm performace. © 2009 Springer-Verlag.

Más información

Título de la Revista: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen: 5707
Editorial: Society of Laparoendoscopic Surgeons
Fecha de publicación: 2009
Página de inicio: 187
Página final: 191
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-77952065887&partnerID=q2rCbXpz