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.
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Ávila, A.I., Muci, A. (2009). A New Fingerprint Matching Algorithm Based on Minimum Cost Function. In: Fierrez, J., Ortega-Garcia, J., Esposito, A., Drygajlo, A., Faundez-Zanuy, M. (eds) Biometric ID Management and Multimodal Communication. BioID 2009. Lecture Notes in Computer Science, vol 5707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04391-8_24
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DOI: https://doi.org/10.1007/978-3-642-04391-8_24
Publisher Name: Springer, Berlin, Heidelberg
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