Error exponent analysis of person identification based on fusion of dependent/independent modalities | Zendy

Oleksiy Koval | Zendy; Slava Voloshynovskiy | Zendy; Thierry Pun | Zendy

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Error exponent analysis of person identification based on fusion of dependent/independent modalities

Author(s) -

Oleksiy Koval,

Slava Voloshynovskiy,

Thierry Pun

Publication year - 2007

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.704138

Subject(s) - modalities , identification (biology) , modality (human–computer interaction) , biometrics , computer science , fusion , exponent , gaussian , sensor fusion , modal , artificial intelligence , pattern recognition (psychology) , algorithm , physics , linguistics , philosophy , botany , chemistry , quantum mechanics , sociology , polymer chemistry , biology , social science

-Performance limits of multimodal detection systems are analyzed in this paper. Two main setups are analyzed, i.e., based on fusion of dependent and independent modalities, respectively. The analysis is performed in terms of attainable probability of detection errors characterized by the corresponding error exponents. It is demonstrated that an expected performance gain from fusion of dependent modalities is superior than in the case when one fuses independent signals. In order to quantify the efficiency of dependent modality fusion versus the independent case, the problem analysis is performed in the Gaussian formulation

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