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Fast Separable Gabor Filter for Fingerprint Enhancement

  • Conference paper
Biometric Authentication (ICBA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3072))

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Abstract

Since two-dimensional Gabor filter can be separated into one-dimensional Gaussian low pass filter and one-dimensional Gaussian band pass filter to the perpendicular, a new set of separable Gabor filters are implemented for fingerprint enhancement. This separable Gabor filtering consumes approximately 2.6 time faster than the conventional Gabor filtering with comparable enhancement results. This alternative fingerprint enhancement scheme is very promising for practical fast implementation in the near future.

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References

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Author information

Authors and Affiliations

  1. Kasetsart Signal and Image Processing Laboratory (KSIP Lab), Department of Electrical Engineering, Faculty of Engineering, Kasetsart University, 50 Phaholyothin Road, Jatujak, Bangkok, 10903, Thailand

    Vutipong Areekul & Ukrit Watchareeruetai

  2. Department of Electrical Engineering, Sirindhorn International Institute of Technology (SIIT), Thammasat University, Patumthani, 12121, Thailand

    Sawasd Tantaratana

Authors
  1. Vutipong Areekul
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  2. Ukrit Watchareeruetai
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  3. Sawasd Tantaratana
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Editor information

Editors and Affiliations

  1. Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong

    David Zhang

  2. Department of Computer Science and Engineering, Michigan State University,  

    Anil K. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Areekul, V., Watchareeruetai, U., Tantaratana, S. (2004). Fast Separable Gabor Filter for Fingerprint Enhancement. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_56

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  • DOI: https://doi.org/10.1007/978-3-540-25948-0_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22146-3

  • Online ISBN: 978-3-540-25948-0

  • eBook Packages: Springer Book Archive

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