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Improved Competitive Code for Palmprint Recognition Using Simplified Gabor Filter

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5754))

Abstract

This paper presents a fast algorithm for extracting features using the Simplified Gabor (SG) for Competitive Coding-based palmprint recognition. The competitive code convolves the palmprint image with a bank of Gabor filters with different orientations. We use a simplified version of Gabor filters and an efficient algorithm for extracting features to modify the competitive code. Experimental results indicate that, using SG can achieve the verification accuracy similar to using common Gabor filters, while the runtime for feature extraction using SG is very fast compare to the original algorithm.

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© 2009 Springer-Verlag Berlin Heidelberg

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Wei, J., Jia, W., Wang, H., Zhu, DF. (2009). Improved Competitive Code for Palmprint Recognition Using Simplified Gabor Filter. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2009. Lecture Notes in Computer Science, vol 5754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04070-2_42

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  • DOI: https://doi.org/10.1007/978-3-642-04070-2_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04069-6

  • Online ISBN: 978-3-642-04070-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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