Experimental Results on Fingerprint Liveness Detection

  • Luca Ghiani
  • Paolo Denti
  • Gian Luca Marcialis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7378)

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.

Keywords

Local Binary Pattern True Positive Rate Biometric System Fingerprint Image Digital Sensor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Luca Ghiani
    • 1
  • Paolo Denti
    • 1
  • Gian Luca Marcialis
    • 1
  1. 1.Department of Electrical and Electronic EngineeringUniversity of CagliariCagliariItaly

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