Abstract
Fingerprints are widely used in automatic identity verification systems. The core of such systems is the verification algorithm to match two fingerprints. So far, various method for fingerprint matching have been proposed, but few works investigated the fusion of two or more matching algorithms. In this paper, various methods for fusing such algorithms have been investigated. Experimental results showed that such fusion can outperform the best individual verification algorithm and increase the discrimination between genuine and impostor classes.
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Marcialis, G.L., Roli, F. (2003). Experimental Results on Fusion of Multiple Fingerprint Matchers. In: Kittler, J., Nixon, M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44887-X_94
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DOI: https://doi.org/10.1007/3-540-44887-X_94
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