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Discriminant analysis for recognition of human face images

  • Face-based Authentication
  • Conference paper
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Book cover Audio- and Video-based Biometric Person Authentication (AVBPA 1997)

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

Abstract

In this paper the discriminatory power of various human facial features is studied and a new scheme for Automatic Face Recognition (AFR) is proposed. Using Linear Discriminant Analysis (LDA) of different aspects of human faces in spatial domain, we first evaluate the significance of visual information in different parts/features of the face for identifying the human subject. The LDA of faces also provides us with a small set of features that carry the most relevant information for classification purposes. The features are obtained through eigenvector analysis of scatter matrices with the objective of maximizing between-class and minimizing within-class variations. The result is an efficient projection-based feature extraction and classification scheme for AFR. Soft decisions made based on each of the projections are combined, using probabilistic or evidential approaches to multisource data analysis. For medium-sized databases of human faces, good classification accuracy is achieved using very low-dimensional feature vectors.

The support of this research by the Advanced Research Projects Agency (ARPA Order No. C635),and the Office of Naval Research under contract N00014-95-1-0521 is gratefully acknowledged.

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Authors and Affiliations

  1. Hughes Network Systems, 20876, Germantown, MD

    Kamran Etemad & Rama Chellappa

  2. Department of Electrical Engineering and Center for Automation Research, University of Maryland, 20742, College Park, MD, USA

    Kamran Etemad & Rama Chellappa

Authors
  1. Kamran Etemad
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  2. Rama Chellappa
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Josef Bigün Gérard Chollet Gunilla Borgefors

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© 1997 Springer-Verlag Berlin Heidelberg

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Etemad, K., Chellappa, R. (1997). Discriminant analysis for recognition of human face images. 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/BFb0015988

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  • DOI: https://doi.org/10.1007/BFb0015988

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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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