A New Triangular Matching Approach for Latent Palmprint Identification

  • José Hernández-Palancar
  • Alfredo Muñoz-Briseño
  • Andrés Gago-Alonso
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8259)

Abstract

Palmprint identification is still considered as a challenging research line in Biometrics. Nowadays, the performance of this techniques highly depends on the quality of the involved palmprints, specially if the identification is performed in latent palmprints. In this paper, we propose a new feature model for representing palmprints and dealing with the problems of missing and spurious minutiae. Moreover, we propose a novel verification algorithm based in this feature model, which uses a strategy for finding adaptable local matches between substructures obtained from images. In experimentation, we show that our proposal achieves highest scores in latent palmprint matching, improving some of the best results reported in the literature.

Keywords

Delaunay Triangulation Ridge Counter Virtual Edge Matching Step Palmprint Recognition 
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 2013

Authors and Affiliations

  • José Hernández-Palancar
    • 1
  • Alfredo Muñoz-Briseño
    • 1
  • Andrés Gago-Alonso
    • 1
  1. 1.Advanced Technologies Application CenterCENATAVCuba

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