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Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignment

  • Kenneth Nilsson
  • Josef Bigun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2359)

Abstract

For the alignment of two fingerprints position of certain landmarks are needed. These should be automatically extracted with low misidentification rate. As landmarks we suggest the prominent symmetry points (core-points) in the fingerprint. They are extracted from the complex orientation field estimated from the global structure of the fingerprint, i.e. the overall pattern of the ridges and valleys. Complex filters, applied to the orientation field in multiple resolution scales, are used to detect the symmetry and the type of symmetry. Experimental results are reported.

Keywords

Global Structure Equal Error Rate Fingerprint Image Symmetry Detection Gaussian Pyramid 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Kenneth Nilsson
    • 1
  • Josef Bigun
    • 1
  1. 1.School of Information Science, Computer and Electrical Engineering (IDE)Halmstad UniversityHalmstadSweden

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