Abstract
Fingerprint liveness detection is aimed to detect if a fingerprint image, sensed by an electronic device, belongs to an “alive” fingertip or to be an artificial replica of it. Recent studies have shown that a fingerprint can be replicated and, if a clever attacker tries to evade the system, this is an issue. Accordingly, several countermeasures in terms of “fingerprint liveness” detection algorithms have been proposed, but never compared on a benchmark data set, internationally accepted by the research community. In this paper, we present some recent experimental results on several state-of-the-art fingerprint liveness detection algorithms on the datasets available at Second International Fingerprint Liveness Detection Competition (LivDet 2011). The results we proposed help assessing which are the more effective approaches used so far.
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Ghiani, L., Denti, P., Marcialis, G.L. (2012). Experimental Results on Fingerprint Liveness Detection. In: Perales, F.J., Fisher, R.B., Moeslund, T.B. (eds) Articulated Motion and Deformable Objects. AMDO 2012. Lecture Notes in Computer Science, vol 7378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31567-1_21
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DOI: https://doi.org/10.1007/978-3-642-31567-1_21
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