Abstract
Although fingerprint verification systems have attained a good performance, researchers recently pointed out their weakness under fraudulent attacks by fake fingers. In fact, the acquisition sensor can be deceived by fake fingerprints created with liquid silicon rubber. Among the solutions to this problem, the software-based ones are the cheapest and less intrusive. They use feature vectors made up of measures extracted from one or multiple impressions (static measures) or multiple frames (dynamic measures) of the same finger in order to distinguish live and fake fingers. In this paper, we jointly use both static and dynamic features and report an experimental investigation aimed to compare them and select the most effective ones.
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© 2006 Springer-Verlag Berlin Heidelberg
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Coli, P., Marcialis, G.L., Roli, F. (2006). Analysis and Selection of Features for the Fingerprint Vitality Detection. In: Yeung, DY., Kwok, J.T., Fred, A., Roli, F., de Ridder, D. (eds) Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2006. Lecture Notes in Computer Science, vol 4109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11815921_100
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DOI: https://doi.org/10.1007/11815921_100
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37236-3
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