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Multimodal Anti-spoofing in Biometric Recognition Systems

  • Giorgio FumeraEmail author
  • Gian Luca Marcialis
  • Battista Biggio
  • Fabio Roli
  • Stephanie Caswell Schuckers
Chapter
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Abstract

While multimodal biometric systems were commonly believed to be intrinsically more robust to spoof attacks than unimodal systems, recent results provided clear evidence that they can be evaded by spoofing a single biometric trait. This pointed out that also multimodal systems require specific anti-spoofing measures. In this chapter, we introduce the issue of multimodal anti-spoofing, and give an overview of state-of-the-art anti-spoofing measures. Such measures mainly consist of developing ad hoc score fusion rules that are based on assumptions about the match score distribution produced by fake biometric traits. We discuss the pros and cons of existing measures, and point out the current challenges in multimodal anti-spoofing.

Keywords

Fusion Rule Biometric System Fingerprint Image False Acceptance Rate 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.

Notes

Acknowledgments

This work has been partly supported by the TABULA RASA project, 7th Framework Research Programme of the European Union (EU), grant agreement number: 257289; by the project CRP-18293 funded by Regione Autonoma della Sardegna (RAS), L.R. 7/2007, Bando 2009; and by a grant awarded to B. Biggio by RAS, PO Sardegna FSE 2007-2013, L.R. 7/2007 “Promotion of the scientific research and technological innovation in Sardinia.”

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Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • Giorgio Fumera
    • 1
    Email author
  • Gian Luca Marcialis
    • 1
  • Battista Biggio
    • 1
  • Fabio Roli
    • 1
  • Stephanie Caswell Schuckers
    • 2
  1. 1.Department of Electrical and Electronic EngineeringUniversity of CagliariCagliariItaly
  2. 2.Department of Electrical and Computer EngineeringClarkson UniversityPotsdamUSA

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