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A Novel Topology-Based Matching Algorithm for Fingerprint Recognition in the Presence of Elastic Distortions

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Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3480))

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Abstract

Fingerprint matching is a crucial step in fingerprint identification. In this paper, we propose a novel fingerprint alignment and matching scheme based on the geometric structure of minutiae set. The proposed scheme is transformation independent and is based on the Delaunay triangulation based technique. We also propose a novel application of RBF method, typically used for medical image matching, in order to deal with elastic deformations of the fingerprint. Finally, we develop an efficient global matching scheme based on the comparisons of minutiae sets and singular points to increase the validity of the matching results. Using the same amount of information on minutiae set as traditional minutiae based algorithms we achieve a faster performance and higher accuracy rates using our proposed algorithm.

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References

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Authors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Chenfeng Wang & Marina L. Gavrilova

Authors
  1. Chenfeng Wang
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  2. Marina L. Gavrilova
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W, T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, P.O. Box, I-06123, Perugia, Italy

    Antonio Laganà

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, P.O. Box, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

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© 2005 Springer-Verlag Berlin Heidelberg

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Wang, C., Gavrilova, M.L. (2005). A Novel Topology-Based Matching Algorithm for Fingerprint Recognition in the Presence of Elastic Distortions. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_77

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  • DOI: https://doi.org/10.1007/11424758_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25860-5

  • Online ISBN: 978-3-540-32043-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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