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International Conference on Advances in Pattern Recognition

ICAPR 2001: Advances in Pattern Recognition — ICAPR 2001 pp 371–378Cite as

Modelling Plastic Distortion in Fingerprint Images

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2013))

Abstract

This paper introduces a plastic distortion model to cope with the nonlinear deformations characterizing fingerprint images taken with online acquisition sensors. The problem has a great impact on several practical applications, ranging from the design of robust fingerprint matching algorithms to the generation of synthetic fingerprint images. The experimentation on real data validates the model and demonstrates its efficacy in registering minutiae data from highly distorted fingerprint samples.

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References

  1. R. Cappelli, A. Erol, D. Maio and D. Maltoni, “Synthetic Fingerprint-image Generation”, to appear on proceedings International Conference on Pattern Recognition (ICPR2000), Barcelona, September 2000.

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Author information

Authors and Affiliations

  1. DEIS, CSITE - CNR, Università di Bologna, viale Risorgimento 2, 40136, Bologna, Italy

    R. Cappelli, D. Maio & D. Maltoni

Authors
  1. R. Cappelli
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  2. D. Maio
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  3. D. Maltoni
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Exeter, EX4 4PT, Exeter, UK

    Sameer Singh

  2. Computational Intelligence Group, Tuiuti University of Parana, Curitiba, Brazil

    Nabeel Murshed

  3. Institute of Computer Aided Automation PRIP-Group 1832, Vienna University of Technology, Favoritenstr. 9/2/4, 1040, Wien, Austria

    Walter Kropatsch

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

Cappelli, R., Maio, D., Maltoni, D. (2001). Modelling Plastic Distortion in Fingerprint Images. In: Singh, S., Murshed, N., Kropatsch, W. (eds) Advances in Pattern Recognition — ICAPR 2001. ICAPR 2001. Lecture Notes in Computer Science, vol 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44732-6_38

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  • DOI: https://doi.org/10.1007/3-540-44732-6_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41767-5

  • Online ISBN: 978-3-540-44732-0

  • eBook Packages: Springer Book Archive

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