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Fusion of Multiple Candidate Orientations in Fingerprints

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Image Analysis and Recognition (ICIAR 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6754))

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Abstract

This paper addresses the problem of local ridge orientation estimation of fingerprint image. The proposed method computes multiple candidate orientations for each foreground block. A systematic method, consisting of orientation voting and orientation propagation, for selecting orientation out of the multiple candidates is designed according to the smooth changing of local ridge orientations. Experiments show that the proposed methods are robust for poor quality images and the overall matching performance is improved.

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Author information

Authors and Affiliations

  1. School of Computer Science, National University of Defense Technology, Changsha, 410073, China

    En Zhu & Jianping Yin

  2. Department of Computer Science, University of York, Heslington, York, YO10 5DD, UK

    En Zhu & Edwin Hancock

  3. College of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, 410114, China

    Jianming Zhang

  4. School of Electronic Engineering and Computer Science, Peking University, Beijing, 100871, China

    Huiyao An

Authors
  1. En Zhu
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  2. Edwin Hancock
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  3. Jianping Yin
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  4. Jianming Zhang
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  5. Huiyao An
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada

    Mohamed Kamel

  2. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhu, E., Hancock, E., Yin, J., Zhang, J., An, H. (2011). Fusion of Multiple Candidate Orientations in Fingerprints. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21596-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-21596-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21595-7

  • Online ISBN: 978-3-642-21596-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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