Vitality Detection from Fingerprint Images: A Critical Survey

  • Pietro Coli
  • Gian Luca Marcialis
  • Fabio Roli
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)


Although fingerprint verification systems reached a high degree of accuracy, it has been recently shown that they can be circumvented by “fake fingers”, namely, fingerprint images coming from stamps reproducing an user fingerprint, which is processed as an “alive” one. Several methods have been proposed for facing with this problem, but the issue is far from a final solution. Since the problem is relevant both for the academic and the industrial communities, in this paper, we present a critical review of current approaches to fingerprint vitality detection in order to analyze the state–of–the art and the related open issues.


Vitality Detection Equal Error Rate Fingerprint Image Mould Material False Rejection Rate 
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 2007

Authors and Affiliations

  • Pietro Coli
    • 1
  • Gian Luca Marcialis
    • 1
  • Fabio Roli
    • 1
  1. 1.University of Cagliari – Department of Electrical and Electronic Engineering, Piazza d’Armi – 09123 CagliariItaly)

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