Fingerprint skeleton matching based on local descriptor

  • Authors:
  • Julien Bohné;Vincent Despiégel

  • Affiliations:
  • Sagem Sécurité;Sagem Sécurité

  • Venue:
  • BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
  • Year:
  • 2009

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Abstract

In this paper, we present a new fingerprint matching algorithm based on a local skeleton descriptor. This descriptor uses ridge count information to encode minutiae locations in a small neighborhood. Taking advantage of ridge count properties, our descriptor is robust to distortions. We developed an efficient algorithm to match our descriptor and a strategy to combine matchings of many local descriptors. Our algorithm obtains interesting results on both tenprint -to-tenprint and latent-to-tenprint matchings.