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Proceedings Paper

Error exponent analysis of person identification based on fusion of dependent/independent modalities
Author(s): Oleksiy Koval; Sviatoslav Voloshynovskiy; Thierry Pun
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Paper Abstract

In this paper we analyze performance limits of multimodal biometric identification systems. We consider impact of the inter-modal dependencies on the attainable probabilities of error and demonstrate that an expected performance gain from fusion of dependent modalities is significantly higher than in the case when one fuses independent signals. Finally, in order to demonstrate the efficiency of dependent modality fusion, we perform the problem analysis in the Gaussian formulation and show the performance enhancement versus the independent case.

Paper Details

Date Published: 27 February 2007
PDF: 8 pages
Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 650515 (27 February 2007); doi: 10.1117/12.704138
Show Author Affiliations
Oleksiy Koval, CUI-Univ. of Geneva (Switzerland)
Sviatoslav Voloshynovskiy, CUI-Univ. of Geneva (Switzerland)
Thierry Pun, CUI-Univ. of Geneva (Switzerland)


Published in SPIE Proceedings Vol. 6505:
Security, Steganography, and Watermarking of Multimedia Contents IX
Edward J. Delp; Ping Wah Wong, Editor(s)

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