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Watermarking Based Multi-biometric Fusion Approach

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Codes, Cryptology, and Information Security (C2SI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9084))

Abstract

In this paper we present a watermarking based multi- biometric fusion method that can embed fingerprint minutia information into host face images in the DCT (Discrete Cosine Transform) domain. This scheme has the advantage that in addition to prevent unauthorized biometric data manipulations, the biometric authentication can be performed efficiently using the fused biometric data without the need to extract the watermark. Orthogonal Locality Preserving Projections (OLPP) method is used in this approach to extract the most pertinent features which are beneficial to identification of the watermarked face images. Preliminarily results using ORL and Yale face databases, and FVC2002 DB2 fingerprint database show the effectiveness of the proposed approach in achieving good authentication performance while preventing unauthorized manipulations of biometric data.

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Author information

Authors and Affiliations

  1. Information Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

    Sanaa Ghouzali

Authors
  1. Sanaa Ghouzali
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Corresponding author

Correspondence to Sanaa Ghouzali .

Editor information

Editors and Affiliations

  1. University of Mohammed V, Rabat, Morocco

    Said El Hajji

  2. University of Caen, Caen, France

    Abderrahmane Nitaj

  3. LAGA,Universities of Paris 8 and Paris 13, Saint-Denis Cedex 02, France

    Claude Carlet

  4. University of Mohammed V, Rabat, Morocco

    El Mamoun Souidi

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© 2015 Springer International Publishing Switzerland

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Ghouzali, S. (2015). Watermarking Based Multi-biometric Fusion Approach. In: El Hajji, S., Nitaj, A., Carlet, C., Souidi, E. (eds) Codes, Cryptology, and Information Security. C2SI 2015. Lecture Notes in Computer Science(), vol 9084. Springer, Cham. https://doi.org/10.1007/978-3-319-18681-8_27

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  • DOI: https://doi.org/10.1007/978-3-319-18681-8_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18680-1

  • Online ISBN: 978-3-319-18681-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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