Biometric recognition based on line shape descriptors

  • Authors:
  • Anton Cervantes;Gemma Sánchez;Josep Lladós;Agnès Borràs;Ana Rodríguez

  • Affiliations:
  • Centre de Visió per Computador i Departament de Ciències de la Computació, Universitat Autònoma de Barcelona, Bellaterra, Catalonia, Spain;Centre de Visió per Computador i Departament de Ciències de la Computació, Universitat Autònoma de Barcelona, Bellaterra, Catalonia, Spain;Centre de Visió per Computador i Departament de Ciències de la Computació, Universitat Autònoma de Barcelona, Bellaterra, Catalonia, Spain;Centre de Visió per Computador i Departament de Ciències de la Computació, Universitat Autònoma de Barcelona, Bellaterra, Catalonia, Spain;Hospital Universitari Arnau de Vilanova, Lleida, Catalonia, Spain

  • Venue:
  • GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
  • Year:
  • 2005

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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.