Scalability Analysis of Audio-Visual Person Identity Verification

  • Jacek Czyz
  • Samy Bengio
  • Christine Marcel
  • Luc Vandendorpe
Conference paper

DOI: 10.1007/3-540-44887-X_87

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2688)
Cite this paper as:
Czyz J., Bengio S., Marcel C., Vandendorpe L. (2003) Scalability Analysis of Audio-Visual Person Identity Verification. In: Kittler J., Nixon M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg

Abstract

In this work, we present a multimodal identity verification system based on the fusion of the face image and the text independent speech data of a person. The system conciliates the monomodal face and speaker verification algorithms by fusing their respective scores. In order is evaluated at various sizes of the face and speech user template. The user template size is a key parameter when the storage space is limited like in a smart card. Our experimental results show that the multimodal fusion allows to reduce significantly the user template size while keeping a satisfactory level of performance. Experiments are performed on the newly recorded multimodal database BANCA.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Jacek Czyz
    • 1
  • Samy Bengio
    • 2
  • Christine Marcel
    • 2
  • Luc Vandendorpe
    • 1
  1. 1.Communications LaboratoryUniversité catholique de LouvainBelgium
  2. 2.IDIAPMartignySwitzerland

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