A new fingerprint matching algorithm based on minimum cost function

Authors:
Andrés I. Ávila;Adrialy Muci
Affiliations:
Departamento de Ingeniería Matemática, Universidad de La Frontera, Chile;Departamento de Ingeniería Matemática, Universidad de La Frontera, Chile
Venue:
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Year:
2009

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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.