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Selection of discriminative sub-regions for palmprint recognition

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Abstract

Palmprint recognition, as a reliable personal identification method, has received an increasing attention and became an area of intense research during recent years. In this paper, we propose a generic biometric system that can be adopted with or without contact depending on the capturing system to ensure public security based on palmprint identification. This system is based on a new global approach that focuses only on areas of the image having the most discriminating features for recognition. The presented new approach was evaluated experimentally on two large databases, namely,“CASIA-Palmprint” and “PolyU-Palmprint”; the results of this evaluation show promising results and demonstrate the effectiveness of the proposed approach.

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Acknowledgements

Portions of the research in this paper use the “CASIA-Palmprint” Image Database collected by the Chinese Academy of Sciences Institute of Automation (CASIA).

Portions of the work tested on the “PolyU-Palmprint” Database 2nd version collected by the Biometric Research Center at the Hong Kong Polytechnic University.

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Authors and Affiliations

  1. MIRACL-FS, Sfax University, Road Sokra Km 3 BP 802, 3018, Sfax, Tunisia

    Mohamed Hammami

  2. MIRACL-FSEG, Sfax University, Road Aeroport Km 4, 3018, Sfax, Tunisia

    Salma Ben Jemaa & Hanene Ben-Abdallah

Authors
  1. Mohamed Hammami
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  2. Salma Ben Jemaa
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  3. Hanene Ben-Abdallah
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Corresponding author

Correspondence to Salma Ben Jemaa.

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Hammami, M., Ben Jemaa, S. & Ben-Abdallah, H. Selection of discriminative sub-regions for palmprint recognition. Multimed Tools Appl 68, 1023–1050 (2014). https://doi.org/10.1007/s11042-012-1109-x

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