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Interoperability Among Capture Devices for Fingerprint Presentation Attacks Detection

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Handbook of Biometric Anti-Spoofing

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

Abstract

A fingerprint verification system is vulnerable to attacks led through the fingertip replica of an enrolled user. The countermeasure is a software/hardware module called fingerprint presentation attacks detector (FPAD) that is able to detect images coming from a real (live) and a spoof (fake) fingertip. We focused our work on the so-called software-based solutions that use a classifier trained with a collection of live and fake fingerprint images in order to determine the liveness level of a finger, that is, the probability that the submitted fingerprint image is not a replica. The chapter goal is to give an overview of FPAD systems by focusing on the problem of the interoperability among different capture devices. In other words, the FPAD performance variation arises when the capture device is substituted by another one, for example, due to upgrading reasons. After a brief summary of the main and most effective state-of-the-art approaches to feature extraction, we introduce the interoperability FPAD problem from the image captured by the fingerprint sensor to the impact on the related feature space and classifier. In particular, we take into account the so-called textural descriptors used for FPAD. We review the state of the art in order to see if and how this problem has been already treated. Finally, a possible solution is suggested and a set of experiments is done to investigate its effectiveness.

We thank Mikel Zurutuza who contributed to this research work during his visiting period for the Global Training Program.

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Notes

  1. 1.

    http://livdet.org/index.php.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy

    Pierliugi Tuveri, L. Ghiani, Mikel Zurutuza, V. Mura & G. L. Marcialis

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  1. Pierliugi Tuveri
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  2. L. Ghiani
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  3. Mikel Zurutuza
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  4. V. Mura
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  5. G. L. Marcialis
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Correspondence to Pierliugi Tuveri .

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Editors and Affiliations

  1. Idiap Research Institute, Martigny, Switzerland

    Sébastien Marcel

  2. University of Southampton, Southampton, UK

    Mark S. Nixon

  3. Universidad Autonoma de Madrid, Madrid, Spain

    Julian Fierrez

  4. EURECOM, Biot Sophia Antipolis, France

    Nicholas Evans

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Tuveri, P., Ghiani, L., Zurutuza, M., Mura, V., Marcialis, G.L. (2019). Interoperability Among Capture Devices for Fingerprint Presentation Attacks Detection. In: Marcel, S., Nixon, M., Fierrez, J., Evans, N. (eds) Handbook of Biometric Anti-Spoofing. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-92627-8_4

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