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Fingerprint Images Enhancement in Curvelet Domain

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Advances in Visual Computing (ISVC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5359))

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Abstract

Due to variety of fingerprint images in quality, it is essential to perform a fingerprint enhancement stage before extracting minutiae. Since the performance of an automatic fingerprint authentication system depends on accuracy of extracted features, designing an efficient and accurate enhancement module is critical. In this paper we propose a new fingerprint enhancement method based on Gabor filter in Curvelet domain which can improve the clarity and continuity of ridge and valley structures. In proposed method first we apply Fast Discrete Curvelet Transform (FDCT) on query image. Then Gabor filter is employed on the coarse scale coefficients and a soft thresholding function is applied on the fine scale coefficients. Finally we reconstruct fingerprint image using those modified coefficients. Our primary experimental results on a small test set, which includes 21 fingerprint images, show the promising performance compare to Gabor-based and Wavelet-based methods.

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Author information

Authors and Affiliations

  1. Computer Vision Laboratory, University of Nevada at Reno, NV, USA

    Gholamreza Amayeh

  2. Dept. of Computer Engineering, Islumic Azad University, Arak, Iran

    Soheil Amayeh

  3. Dept. of Computer Engineering, Sharif University of Tech., Tehran, Iran

    Mohammad Taghi Manzuri

Authors
  1. Gholamreza Amayeh
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  2. Soheil Amayeh
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  3. Mohammad Taghi Manzuri
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Mitsubishi Electric Research Laboratories, P.O. Box 02139, Cambridge, MA, USA

    Fatih Porikli

  7. Computer and Information Science and Engineering, University of Florida, P.O. Box, FL 32611-6120, Gainsville, USA

    Jörg Peters

  8. IBM T.J. Watson Research Center, 19 Skyline Drive, NY 10532, Hawthorne, USA

    James Klosowski

  9. 128 Memorial Mall, Stewart B001, IN 47907, West Lafayette, USA

    Laura Arns

  10. Denver Museum of Nature and Space, 2001 Colorade Blvd. Denver,, CO 80205, USA

    Yu Ka Chun

  11. Departmen of Computer Science,, NC State University, Campus Box 8206, NC 27695-8206, Raleigh, USA

    Theresa-Marie Rhyne

  12. Los Alamos National Labs, P.O. Box 1663, NM 87545, Los Alamos, USA

    Laura Monroe

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© 2008 Springer-Verlag Berlin Heidelberg

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Amayeh, G., Amayeh, S., Manzuri, M.T. (2008). Fingerprint Images Enhancement in Curvelet Domain. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_53

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  • DOI: https://doi.org/10.1007/978-3-540-89646-3_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89645-6

  • Online ISBN: 978-3-540-89646-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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