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Handbook of Biometric Anti-Spoofing pp 35–64Cite as

Fingerprint Anti-spoofing in Biometric Systems

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Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

Abstract

This chapter is focused on giving a comprehensive description of the state-of-the-art in biometric-based fingerprint anti-spoofing and the big advances that have been reached in this field over the last decade. In addition, after a comprehensive review of the available literature in the field, we explore the potential of quality assessment as a way to enhance the security of the fingerprint-based technology against direct attacks. We believe that, beyond the interest that the described techniques intrinsically have, the case study presented may serve as an example of how to develop and validate fingerprint anti-spoofing techniques based on common and publicly available benchmarks and following a systematic and replicable protocol.

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Notes

  1. 1.

    Figures do not lie, but liars do figure.

  2. 2.

    During the writing of this chapter the 2013 LivDet edition was being held. The DB used in the evaluation will be made public on the web site of the competition once the final results are published.

  3. 3.

    http://prag.diee.unica.it/LivDet09/.

  4. 4.

    http://people.clarkson.edu/projects/biosal/fingerprint/index.php.

  5. 5.

    http://atvs.ii.uam.es/.

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Acknowledgments

This work has been partially supported by projects Contexts (S2009/TIC-1485) from CAM, Bio-Shield (TEC2012-34881) from Spanish MECD, TABULA RASA (FP7-ICT-257289) and BEAT (FP7-SEC-284989) from EU, and Cátedra UAM-Telefónica.

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Authors and Affiliations

  1. Biometric Recognition Group—ATVS, Universidad Autonoma de Madrid, Madrid, Spain

    Javier Galbally, Julian Fierrez, Javier Ortega-Garcia & Raffaele Cappelli

  2. Biometric Systems Laboratory (BioLab), Universit‘a di Bologna, Bologna, Italy

    Raffaele Cappelli

Authors
  1. Javier Galbally
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  2. Julian Fierrez
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  3. Javier Ortega-Garcia
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  4. Raffaele Cappelli
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Corresponding author

Correspondence to Javier Galbally .

Editor information

Editors and Affiliations

  1. Idiap Research Institute, Martigny, Switzerland

    Sébastien Marcel

  2. University of Southampton, United Kingdom

    Mark S. Nixon

  3. Institute of Automation Center for Biometrics and Security Resea, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

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Galbally, J., Fierrez, J., Ortega-Garcia, J., Cappelli, R. (2014). Fingerprint Anti-spoofing in Biometric Systems. In: Marcel, S., Nixon, M., Li, S. (eds) Handbook of Biometric Anti-Spoofing. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-6524-8_3

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