Parameter optimization for biometric fingerprint recognition using genetic algorithms

Authors:
Tobias Scheidat;Andreas Engel;Claus Vielhauer
Affiliations:
Otto-von-Guericke University of Magdeburg;Otto-von-Guericke University of Magdeburg;Otto-von-Guericke University of Magdeburg
Venue:
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Year:
2006

Citing 4
Cited 1

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Abstract

In this paper, we suggest an optimization approach for fingerprint authentication using genetic algorithms. Our application was planned so that it can be used without great effort for different biometric systems. Instead of estimating the required parameters as in the case of some methods, here they are determined with the help of genetic algorithms. Our own test database consists of 1200 fingerprints of 12 persons. For the confirmation of the results, which were found out with this test set, the databases of the Fingerprint Verification Contests of the years 2000, 2002 and 2004 were examined in addition. In the best case an improvement in the recognition performance of 38% could be observed.