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International Workshop on Artificial Neural Networks

IWANN 1993: New Trends in Neural Computation pp 68–77Cite as

Biologically motivated approach to face recognition

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 686))

Abstract

A biologically motivated compute intensive approach to computer vision is developed and applied to the problem of face recognition. The approach is based on the use of two-dimensional Gabor functions that fit the receptive fields of simple cells in the primary visual cortex of mammals. A descriptor set that is robust against translations is extracted by a global reduction operation and used for a search in an image database. The method was applied on a database of 205 face images of 30 persons and a recognition rate of 94% was achieved.

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Authors and Affiliations

  1. Department of Mathematics and Computer Science, Rijksuniversiteit Groningen, P.O. Box 800, 9700, AV Groningen, The Netherlands

    N. Petkov, P. Kruizinga & T. Lourens

Authors
  1. N. Petkov
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  2. P. Kruizinga
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  3. T. Lourens
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Editor information

José Mira Joan Cabestany Alberto Prieto

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© 1993 Springer-Verlag Berlin Heidelberg

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Petkov, N., Kruizinga, P., Lourens, T. (1993). Biologically motivated approach to face recognition. In: Mira, J., Cabestany, J., Prieto, A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, vol 686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56798-4_126

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  • DOI: https://doi.org/10.1007/3-540-56798-4_126

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56798-1

  • Online ISBN: 978-3-540-47741-9

  • eBook Packages: Springer Book Archive

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