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Do multispectral palmprint images be reliable for person identification?

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Abstract

This paper is concerned with an investigation of multispectral palmprint images for improving person identification by replying to the question: can multispectral palmprint images be reliable for such purpose? Two biometric systems are then proposed. In the first system, each spectral image is aligned and then used for feature extraction using 1D Log-Gabor filter. The features are encoded and Hamming distance is used for matching. The fusion at matching score level is used before the decision making. The second system is based on multiresolution analysis for feature extraction. The spectral images are decomposed into frequency sub-images with different levels of decomposition. The extracted coefficients are used as features. The MGPDF is used for modeling the features and Log-Likelihood scores are used for matching. Fusion at the matching score level is used before decision making. A comparative study between the two systems is then developed. The experimental results are demonstrated using the PolyU multispectral database and the results show that the two proposed systems are more effective when using multispectral images than their monospectral counterpart images.

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Authors and Affiliations

  1. Laboratoire de Genié Électrique, Faculté des Sciences et de la Technologie et des Sciences de la Matière, Université Kasdi Merbah de Ouargla, Ouargla, 30000, Algeria

    Abdallah Meraoumia

  2. Signal and Image Processing Laboratory, Electronics and Computer Science Faculty, Telecommunication Department, University of Science and Technology of Houari Boumedienne, Algiers, Algeria

    Salim Chitroub

  3. Department of Computer Science and Digital Technologies, Northumbria University Newcastle, Pandon Building, Newcastle upon Tyne, NE2 1XE, UK

    Ahmed Bouridane

Authors
  1. Abdallah Meraoumia
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  2. Salim Chitroub
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  3. Ahmed Bouridane
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Correspondence to Salim Chitroub.

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Meraoumia, A., Chitroub, S. & Bouridane, A. Do multispectral palmprint images be reliable for person identification?. Multimed Tools Appl 74, 955–978 (2015). https://doi.org/10.1007/s11042-013-1706-3

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  • DOI: https://doi.org/10.1007/s11042-013-1706-3

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