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Profile authentication using a chamfer matching algorithm

  • Face-based Authentication
  • Conference paper
  • First Online:
Audio- and Video-based Biometric Person Authentication (AVBPA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1206))

Abstract

This paper investigates the use of the profile shape to recognize human faces. In order to test the intrinsic efficiency of profile authentication, we will make use of a method that directly works on the profile contour encoded as x-y coordinates. This way, the performance rated here will only depend on the ability of the profile view to dissociate faces and not on the choice of a given set of profile features and/or the quality of their extraction.

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References

  1. M. Acheroy, C. Beumier, J. Bigün, G. Chollet, B. Duc, S. Fischer, D. Genoud, P. Lockwood, G. Maitre, S. Pigeon, I. Pitas, K. Sobottka and L. Vandendorpe. ”Multi-Modal Person Verification Tools using Speech and Images”. In Proceedings of the European Conference on Multimedia Applications, Services and Techniques (ECMAST '96), pp. 747–761, Louvain-La-Neuve, May 28–30 1996.

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Author information

Authors and Affiliations

  1. Laboratoire de Télécommunications et Télédétection, UCL, Place du Levant, 2, B-1348, Louvain-La-Neuve, Belgium

    Stéphane Pigeon & Luc Vandendorpe

Authors
  1. Stéphane Pigeon
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  2. Luc Vandendorpe
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Editor information

Josef Bigün Gérard Chollet Gunilla Borgefors

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© 1997 Springer-Verlag Berlin Heidelberg

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Pigeon, S., Vandendorpe, L. (1997). Profile authentication using a chamfer matching algorithm. In: Bigün, J., Chollet, G., Borgefors, G. (eds) Audio- and Video-based Biometric Person Authentication. AVBPA 1997. Lecture Notes in Computer Science, vol 1206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0015995

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  • DOI: https://doi.org/10.1007/BFb0015995

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62660-2

  • Online ISBN: 978-3-540-68425-1

  • eBook Packages: Springer Book Archive

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