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Using Linear Symmetry Features as a Pre-processing Step for Fingerprint Images

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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

This paper presents the idea to use linear symmetry properties as a feature based pre-processing step for fingerprint images. These features contain structural information of the local patterns. The linear symmetry can be computed by using separable spatial filtering and therefore has the potential to be a fast pre-processing step. Our results indicate that minutiae can be located as well as can be assigned a certain class type. The type of minutiae matching in combination with geometrical matching increases the matching efficiency as compared to the pure geometrical matching.

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References

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Author information

Authors and Affiliations

  1. Halmstad University, School of Information Science Computer and Electrical Engineering, 823, S, 301 18, Halmstad, Sweden

    Kenneth Nilsson & Josef Bigun

Authors
  1. Kenneth Nilsson
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  2. Josef Bigun
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Editor information

Editors and Affiliations

  1. School of Information Science, Computer and Electrical Engineering, Halmstad University, P.O. Box 823, S-301 18, Halmstad, Sweden

    Josef Bigun  & Fabrizio Smeraldi  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Nilsson, K., Bigun, J. (2001). Using Linear Symmetry Features as a Pre-processing Step for Fingerprint Images. 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_36

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  • DOI: https://doi.org/10.1007/3-540-45344-X_36

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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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