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Fingerprint Verification Using Correlation Filters

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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

In this paper we investigate the use of correlation filters for fingerprint verification. Correlation filters have advantages such as their built-in shift invariance, closed form expressions, graceful degradation, and their ability to trade off discrimination for distortion tolerance. The NIST Special Database 24 is used here to evaluate fingerprint verification performance in the presence of distortions.

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References

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Author information

Authors and Affiliations

  1. Department of ECE, Carnegie Mellon University, 15213, Pittsburgh, PA, USA

    Krithika Venkataramani & B.V.K. Vijaya Kumar

Authors
  1. Krithika Venkataramani
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  2. B.V.K. Vijaya Kumar
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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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Venkataramani, K., Kumar, B.V. (2003). Fingerprint Verification Using Correlation Filters. 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_103

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  • DOI: https://doi.org/10.1007/3-540-44887-X_103

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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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