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Biometric Template Privacy Using Visual Cryptography

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Innovations in Bio-Inspired Computing and Applications (IBICA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 735))

Abstract

One of the critical steps in designing a secure biometric system is protecting the templates of the users. If a biometric template is compromised, it leads to serious security and privacy threats because unlike passwords, it is not possible for a legitimate user to revoke his biometric identifiers and switch to another set of uncompromised identifiers. This work propose a new cancelable biometric template using visual cryptography (VC) for preserving privacy to biometric data such as finger-vein. The finger vein template is divided into two noisy images, known as shares, using VC, where one share is stored in the system database and the other is kept with the user on a smart card. The private image can be revealed only when both shares are simultaneously available at the same time. The individual share images do not reveal the identity of the private image. We experimentally evaluate performance of the proposed scheme. The evaluation is performed based on the two metrics: (i) False Acceptance Rate (FAR), and (ii) False Rejection Rate (FRR).

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Authors and Affiliations

  1. University Cadi Ayyad, Marrakesh, Morocco

    Sana Ibjaoun, Anas Abou El Kalam & Abdellah Ait Ouahman

  2. University of Valenciennes and Hainaut Cambrésis, Valenciennes, France

    Sana Ibjaoun & Vincent Poirriez

Authors
  1. Sana Ibjaoun
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  2. Anas Abou El Kalam
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  3. Vincent Poirriez
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  4. Abdellah Ait Ouahman
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Corresponding authors

Correspondence to Sana Ibjaoun , Anas Abou El Kalam , Vincent Poirriez or Abdellah Ait Ouahman .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  4. Machine Intelligence Research Labs, Auburn, Washington, USA

    Niketa Gandhi

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Ibjaoun, S., Abou El Kalam, A., Poirriez, V., Ait Ouahman, A. (2018). Biometric Template Privacy Using Visual Cryptography. In: Abraham, A., Haqiq, A., Muda, A., Gandhi, N. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2017. Advances in Intelligent Systems and Computing, vol 735. Springer, Cham. https://doi.org/10.1007/978-3-319-76354-5_28

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  • DOI: https://doi.org/10.1007/978-3-319-76354-5_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76353-8

  • Online ISBN: 978-3-319-76354-5

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