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A Multimodal Biometric Fusion Approach based on Binary Particle Optimization

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Research and Development in Intelligent Systems XXVIII (SGAI 2011)

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Abstract

In this paper, we propose a novel fusion scheme of iris and online signature biometrics at feature level space. The features are extracted from the pre-processed images of iris and the dynamics of signatures. We propose different fusion schemes at feature level, which we compare on a database of 108 virtual people. Moreover, in order to reduce the complexity of the fusion scheme, we implement a binary particle swarm optimization (BPSO) procedure which allows the number of features to be significantly reduced while keeping the same level of performance. This paper studies the advantage of multimodal biometric system over unimodal biometric system. We also examine how the accuracy will be improved as several biometric data are integrated in an identification system. Results show a significant improvement in performance when classification performed at feature fusion level.

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Author information

Authors and Affiliations

  1. Software Technology Research Laboratory, De Montfort University, Montfort, UK

    Waheeda Almayyan & Hussian Zedan

  2. Department of Solar and Space Research, National Research Institute of Astronomy and Geophysics, Cairo, Egypt

    Hala Own

  3. Electrical Engineering Department, Faculty of Engineering - Port-Said University, Port Fouad, 42523, Port-Said, Egypt

    Rabab Abel-Kader

Authors
  1. Waheeda Almayyan
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  2. Hala Own
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  3. Rabab Abel-Kader
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  4. Hussian Zedan
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Corresponding author

Correspondence to Waheeda Almayyan .

Editor information

Editors and Affiliations

  1. University of Portsmouth, Lion Terrace, Portsmouth, PO1 3HE, United Kingdom

    Max Bramer

  2. School of Computing &, Mathematical Sciences, University of Greenwich, Park Row 30, London, SE10 9LS, United Kingdom

    Miltos Petridis

  3. , School of Computing and Informatics, Nottingham Trent University, Burton Street, Nottingham, NG1 4BU, United Kingdom

    Lars Nolle

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© 2011 Springer-Verlag London Limited

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Almayyan, W., Own, H., Abel-Kader, R., Zedan, H. (2011). A Multimodal Biometric Fusion Approach based on Binary Particle Optimization. In: Bramer, M., Petridis, M., Nolle, L. (eds) Research and Development in Intelligent Systems XXVIII. SGAI 2011. Springer, London. https://doi.org/10.1007/978-1-4471-2318-7_10

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  • DOI: https://doi.org/10.1007/978-1-4471-2318-7_10

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2317-0

  • Online ISBN: 978-1-4471-2318-7

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