Abstract
Currently biometric system performance is evaluated in terms of its FAR and FRR. The accuracy expressed in such a manner depends on the characteristics of the dataset on which the system has been tested. Using different datasets for system evaluation makes a true comparison of such systems difficult, more so in cases where the systems are designed to work on different biometrics, such as fingerprint and signature. We propose a similarity metric, calculated for a pair of fingerprint templates, which will quantize the “confusion” of a fingerprint matcher in evaluating them. We show how such a metric, can be calculated for an entire biometric database, to give us the amount of difficulty a matcher has, when evaluating fingerprints from that database. This similarity metric can be calculated in linear time, making it suitable for large datasets.
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© 2005 Springer-Verlag Berlin Heidelberg
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Mansukhani, P., Govindaraju, V. (2005). Exploring Similarity Measures for Biometric Databases. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_87
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DOI: https://doi.org/10.1007/11527923_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27887-0
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