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Facing Position Variability in Minutiae-Based Fingerprint Verification through Multiple References and Score Normalization Techniques

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Audio- and Video-Based Biometric Person Authentication (AVBPA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2688))

Abstract

The aim of this paper is to show the performance of a complete scheme of the minutiae-based fingerprint automatic verification system, previously proposed [13], and recently improved, evaluating its performance in the verification mode with the large MCYT database [10]. The design of this database, the characteristics of the stored fingerprint images, the minutiae extraction procedure, and the pattern recognition process, are briefly described in the first part of the paper. Subsequently, several experiments are presented in order to analyse the influence on the system performance of a variability factor, like fingerprint position variability during acquisition stage. The use of multiple-reference strategy and score normalization technique have permitted us to highly improve verification performance.

This work has been supported by the Spanish Ministry for Science and Technology under project TIC2000-1669-C04-01.

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Author information

Authors and Affiliations

  1. Biometric Research Lab., ATVS, Universidad Politécnica de Madrid, Spain

    D. Simon-Zorita, J. Ortega-Garcia, M. Sanchez-Asenjo & J. Gonzalez-Rodriguez

Authors
  1. D. Simon-Zorita
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  2. J. Ortega-Garcia
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  3. M. Sanchez-Asenjo
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  4. J. Gonzalez-Rodriguez
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Editor information

Editors and Affiliations

  1. Center for Vision, Speech and Signal Proc., University of Surrey, GU2 7XH, Guildford, Surrey, UK

    Josef Kittler

  2. Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, Southampton, UK

    Mark S. Nixon

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© 2003 Springer-Verlag Berlin Heidelberg

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Simon-Zorita, D., Ortega-Garcia, J., Sanchez-Asenjo, M., Gonzalez-Rodriguez, J. (2003). Facing Position Variability in Minutiae-Based Fingerprint Verification through Multiple References and Score Normalization Techniques. In: Kittler, J., Nixon, M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44887-X_26

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  • DOI: https://doi.org/10.1007/3-540-44887-X_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40302-9

  • Online ISBN: 978-3-540-44887-7

  • eBook Packages: Springer Book Archive

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