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Image Security and Biometrics: A Review

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Hybrid Artificial Intelligent Systems (HAIS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7209))

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Abstract

Imaging security and biometrics are two heavily connected areas. The quick evolution of biometrics has raised the need of securing biometric data. A majority of this data is visual, which has lead to intensive development of image security techniques for biometric applications. In this paper we give a fast fly over image security approaches and imaging-related biometrics. We present the current state-of-the-art of the interplay between both areas. The emphasis in this paper is the computational methods.

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Authors and Affiliations

  1. Grupo de Inteligencia Computacional, UPV/EHU, Spain

    Ion Marqués & Manuel Graña

Authors
  1. Ion Marqués
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  2. Manuel Graña
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Editor information

Editors and Affiliations

  1. Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Emilio Corchado

  2. VŠB-TU Ostrava 17, Listopadu 15, 70833, Ostrava, Czech Republic

    Václav Snášel

  3. Machine Intelligence Research Labs Machine Intelligence Research Labs(MIR Labs),, Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071, Auburn, Washington, USA

    Ajith Abraham

  4. Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

  5. University of the Basque Country, Pº Manuel Lardizabal 1, 20018, San Sebastian, Spain

    Manuel Graña

  6. Yonsei University, 134 Shinchon-dong, 120-749, Sudaemoon-ku, Seoul, Korea

    Sung-Bae Cho

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Marqués, I., Graña, M. (2012). Image Security and Biometrics: A Review. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science(), vol 7209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28931-6_42

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  • DOI: https://doi.org/10.1007/978-3-642-28931-6_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28930-9

  • Online ISBN: 978-3-642-28931-6

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