Paper
27 February 2007 Error exponent analysis of person identification based on fusion of dependent/independent modalities
Oleksiy Koval, Sviatoslav Voloshynovskiy, Thierry Pun
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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oleksiy Koval, Sviatoslav Voloshynovskiy, and Thierry Pun "Error exponent analysis of person identification based on fusion of dependent/independent modalities", Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 650515 (27 February 2007); https://doi.org/10.1117/12.704138
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Biometrics

Error analysis

System identification

Binary data

Biological research

Legal

Analytical research

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