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An Intrinsic Coordinate System for Fingerprint Matching

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Audio- and Video-Based Biometric Person Authentication (AVBPA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2091))

Abstract

In this paper, an intrinsic coordinate system is proposed for fingerprints. First the fingerprint is partitioned in regular regions, which are regions that contain no singular points. In each regular region, the intrinsic coordinate system is defined by the directional field. When using the intrinsic coordinates instead of pixel coordinates, minutiae are defined with respect to their position in the directional field. The resulting intrinsic minutiae coordinates can be used in a plastic distortioninvariant fingerprint matching algorithm. Plastic distortions, caused by pressing the 3-dimensional elastic fingerprint surface on a flat sensor, now deform the entire coordinate system, leaving the intrinsic minutiae coordinates unchanged. Therefore, matching algorithms with tighter tolerance margins can be applied to obtain better performance.

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References

  1. A.M. Bazen and S.H. Gerez. Directional Field Computation for Fingerprints Based on the Principal Component Analysis of Local Gradients. In Proceedings of ProRISC 2000, 11th Annual Workshop on Circuits, Systems and Signal Processing, Veldhoven, The Netherlands, November 2000.

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  2. A.M. Bazen and S.H. Gerez. Extraction of Singular Points from Directional Fields of Fingerprints. In Mobile Communications in Perspective, CTIT Workshop on Mobile Communications, University of Twente, pages 41–44, Enschede, The Netherlands, February 2001.

    Google Scholar 

  3. R. Cappelli, A. Erol, D. Maio, and D. Maltoni. Synthetic Fingerprint-Image Generation. In Proceedings of ICPR 2000, 15th Int. Conf. Pattern Recognition, Barcelona, Spain, September 2000.

    Google Scholar 

  4. R. Cappelli, D. Maio, and D. Maltoni. Modelling Plastic Distortion in Fingerprint Images. In proceedings of ICAPR 2001, Second Int. Conf. Advances in Pattern Recognition, Rio de Janeiro, March 2001.

    Google Scholar 

  5. A.K. Jain, L. Hong, S. Pankanti, and R. Bolle. An Identity-Authentication System Using Fingerprints. Proc. of the IEEE, 85(9):1365–1388, Sept. 1997.

    Article  Google Scholar 

  6. X. Jiang and W.Y. Yau. Fingerprint Minutiae Matching Based on the Local and Global Structures. In Proceedings of ICPR2000, 15th Int. Conf. Pattern Recognition, volume 2, pages 1042–1045, Barcelona, Spain, September 2000.

    Article  Google Scholar 

  7. M. Kass and A. Witkin. Analyzing Oriented Patterns. Computer Vision, Graphics, and Image Processing, 37(3):362–385, March 1987.

    Article  Google Scholar 

  8. L. Rabiner and B.H. Juang. Fundamentals of Speech Recognition. Signal Processing Series. Prentice Hall, Englewood Cliffs, NJ, 1993.

    Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Bazen, A.M., Gerez, S.H. (2001). An Intrinsic Coordinate System for Fingerprint Matching. In: Bigun, J., Smeraldi, F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45344-X_28

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  • DOI: https://doi.org/10.1007/3-540-45344-X_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42216-7

  • Online ISBN: 978-3-540-45344-4

  • eBook Packages: Springer Book Archive

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