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A Testing Methodology for Face Recognition Algorithms

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Book cover Machine Learning for Multimodal Interaction (MLMI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3869))

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Abstract

Many face recognition methods have been reported in the literature. Also many face databases and face recognition methodologies are available to test them. Unfortunately most authors test their methods using restricted databases, or random subsets of them. This does not facilitate the comparison of the methods. In this paper we propose an evaluation methodology that utilizes three publicly available databases and an evaluation protocol that offers numerous splits of the images between training and testing images. We also evaluate many different face recognition methods using our methodology, offering a comparison between them.

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Author information

Authors and Affiliations

  1. Athens Information Technology, Autonomic and Grid Computing, Markopoulou Ave., 19002, Peania, Greece

    Aristodemos Pnevmatikakis & Lazaros Polymenakos

Authors
  1. Aristodemos Pnevmatikakis
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  2. Lazaros Polymenakos
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Editor information

Editors and Affiliations

  1. University of Edinburgh, Edinburgh, Scotland

    Steve Renals

  2. IDIAP Research Institute, Martigny, Switzerland

    Samy Bengio

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© 2006 Springer-Verlag Berlin Heidelberg

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Pnevmatikakis, A., Polymenakos, L. (2006). A Testing Methodology for Face Recognition Algorithms. In: Renals, S., Bengio, S. (eds) Machine Learning for Multimodal Interaction. MLMI 2005. Lecture Notes in Computer Science, vol 3869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11677482_19

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  • DOI: https://doi.org/10.1007/11677482_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32549-9

  • Online ISBN: 978-3-540-32550-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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