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Biometric Recognition Based on Line Shape Descriptors

  • Anton Cervantes
  • Gemma Sánchez
  • Josep Lladós
  • Agnès Borràs
  • Ana Rodríguez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3926)

Abstract

In this paper we propose biometric descriptors inspired by shape signatures traditionally used in graphics recognition approaches. In particular several methods based on line shape descriptors used to identify newborns from the biometric information of the ears are developed. The process steps are the following: image acquisition, ear segmentation, ear normalization, feature extraction and identification. Several shape signatures are defined from contour images. These are formulated in terms of zoning and contour crossings descriptors. Experimental results are presented to demonstrate the effectiveness of the used techniques.

Keywords

Feature Extraction Recognition Process Shape Signature Grey Level Image Canny Edge 
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 2006

Authors and Affiliations

  • Anton Cervantes
    • 1
  • Gemma Sánchez
    • 1
  • Josep Lladós
    • 1
  • Agnès Borràs
    • 1
  • Ana Rodríguez
    • 2
  1. 1.Centre de Visió per Computador i Departament de Ciències de la ComputacióUniversitat Autònoma de BarcelonaBellaterra, CataloniaSpain
  2. 2.Hospital Universitari Arnau de VilanovaLleida, CataloniaSpain

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