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Palmprint Recognition Based on Subspace Analysis of Gabor Filter Bank

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Advances in Multimedia Information Processing - PCM 2009 (PCM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5879))

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Abstract

This paper introduces a new technique for palmprint recognition based on Fisher Linear Discriminant Analysis (FLDA) of Gabor filter bank. This method involves convolving a palmprint image with a bank of Gabor filters at different scales and rotations for robust palmprint features extraction. Once these feature are extracted, FLDA is applied for dimensionality reduction and class separability. Since the palmprint features are derived from the principal lines, wrinkles and texture along the palm area one should carefully consider this fact when selecting the appropriate palm region for feature extraction process in order to enhance recognition accuracy. To address this problem, an improved region of interest (ROI) extraction algorithm is introduced. This algorithm allows for an efficient extraction of the whole palm area ignoring all the undesirable parts, such as the fingers and background. Experiments have shown that the proposed method yields attractive performances evidence by an Equal Error Rate (EER) of 0.03%.

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Author information

Authors and Affiliations

  1. ECIT, Queens University, Belfast, BT3 9DT, United kingdom

    Moussadek Laadjel, Fatih Kurugollu, Ahmed Bouridane & WeiQi Yan

Authors
  1. Moussadek Laadjel
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  2. Fatih Kurugollu
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  3. Ahmed Bouridane
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  4. WeiQi Yan
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Editor information

Editors and Affiliations

  1. Naresuan University, 65000, Phisanulok, Thailand

    Paisarn Muneesawang

  2. Microsoft Research Asia, 100109, Beijing, China

    Feng Wu

  3. Tokyo Institute of Technology, 226-8503, Yokohama, Japan

    Itsuo Kumazawa

  4. Mahanakorn University of Technology, 10530, Bankok, Thailand

    Athikom Roeksabutr

  5. Institute of Information Science, Academia Sinica, Taipei, Taiwan

    Mark Liao

  6. Chinese University of Hong Kong, Shatin, N.T., Hong Kong,  

    Xiaoou Tang

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© 2009 Springer-Verlag Berlin Heidelberg

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Laadjel, M., Kurugollu, F., Bouridane, A., Yan, W. (2009). Palmprint Recognition Based on Subspace Analysis of Gabor Filter Bank. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_63

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  • DOI: https://doi.org/10.1007/978-3-642-10467-1_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10466-4

  • Online ISBN: 978-3-642-10467-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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