Local feature extraction in fingerprints by complex filtering

  • Authors:
  • Hartwig Fronthaler;Klaus Kollreider;Josef Bigun

  • Affiliations:
  • Halmstad University, Sweden;Halmstad University, Sweden;Halmstad University, Sweden

  • Venue:
  • IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
  • Year:
  • 2005

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Abstract

A set of local feature descriptors for fingerprints is proposed. Minutia points are detected in a novel way by complex filtering of the structure tensor, not only revealing their position but also their direction. Parabolic and linear symmetry descriptions are used to model and extract local features including ridge orientation and reliability, which can be reused in several stages of fingerprint processing. Experimental results on the proposed technique are presented.