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Evaluating the Complexity of Databases for Person Identification and Verification

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Computer Analysis of Images and Patterns (CAIP 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1689))

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Abstract

Databases play an important role for the development and evaluation of methods for person identification, verification, and other tasks. Despite this fact, there exists no measure that indicates whether a given database is sufficient to train and/or to test a given algorithm. This paper proposes a method to rank the complexity of databases, respectively to validate whether a database is appropriate for the simulation of a given application. The first nearest neighbor and the mean square distance are validated to be suitable as minimal performance measures with respect to the problems of person verification and person identification.

This work has been performed with financial support from the Swiss National Science Foundation under Contract No. 21 49 725 96 and the Swiss Office for Science and Education in the framework of the European ACTS-M2VTS project.

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Author information

Authors and Affiliations

  1. IDIAP, CP 592, CH-1920, Martigny, Switzerland

    G. Thimm, S. Ben-Yacoub & J. Luettin

Authors
  1. G. Thimm
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  2. S. Ben-Yacoub
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  3. J. Luettin
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Editor information

Editors and Affiliations

  1. Faculty of Computer and Information Science, Tržaška cesta 25, 1001, Ljubljana, Slovenia

    Franc Solina  & Alešs Leonardis  & 

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© 1999 Springer-Verlag Berlin Heidelberg

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Thimm, G., Ben-Yacoub, S., Luettin, J. (1999). Evaluating the Complexity of Databases for Person Identification and Verification. In: Solina, F., Leonardis, A. (eds) Computer Analysis of Images and Patterns. CAIP 1999. Lecture Notes in Computer Science, vol 1689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48375-6_7

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  • DOI: https://doi.org/10.1007/3-540-48375-6_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66366-9

  • Online ISBN: 978-3-540-48375-5

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