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Quality-Based Score Normalization and Frame Selection for Video-Based Person Authentication

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Biometrics and Identity Management (BioID 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5372))

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Abstract

This paper addresses the incorporation of quality measures to video-based person authentication. A theoretical framework to incorporate quality measures in biometric authentication is exposed. Two different quality-based score normalization techniques are derived from this theoretical framework. Furthermore, a quality-based frame selection technique and a new face image quality measure are also presented. The ability of this quality measure and the proposed quality-based score normalization techniques and quality-based frame selection technique to improve verification performance is experimentally evaluated in a video-based face verification experiment on the BANCA Database.

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Author information

Authors and Affiliations

  1. Signal Technologies Group,Signal Theory and Communications Department, University of Vigo, Spain

    Enrique Argones Rúa, José Luis Alba Castro & Carmen García Mateo

Authors
  1. Enrique Argones Rúa
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  2. José Luis Alba Castro
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  3. Carmen García Mateo
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Editor information

Editors and Affiliations

  1. CWI/Fontys, 5600 AH, Eindhoven, The Netherlands

    Ben Schouten

  2. Roskilde University, 4000, Roskilde, Denmark

    Niels Christian Juul

  3. Swiss Federal Institute of Technology Lausanne (EPFL), 1015, Lausanne, Switzerland

    Andrzej Drygajlo

  4. University of Sassari, 07041, Alghero, Italy

    Massimo Tistarelli

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© 2008 Springer-Verlag Berlin Heidelberg

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Argones Rúa, E., Alba Castro, J.L., García Mateo, C. (2008). Quality-Based Score Normalization and Frame Selection for Video-Based Person Authentication. In: Schouten, B., Juul, N.C., Drygajlo, A., Tistarelli, M. (eds) Biometrics and Identity Management. BioID 2008. Lecture Notes in Computer Science, vol 5372. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89991-4_1

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  • DOI: https://doi.org/10.1007/978-3-540-89991-4_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89990-7

  • Online ISBN: 978-3-540-89991-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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