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Volumn 9, Issue 1, 2010, Pages 188-191

A study of neural network and its properties of training and adaptability in enhancing accuracy in a multimodal biometrics scenario

Author keywords

Biometric; Multimodal biometrics; Neural network; Score level fusion; Verification

Indexed keywords

COMPLEMENTARY DATA; EXPERIMENTAL INVESTIGATIONS; EXPERIMENTAL STUDIES; FUSION TECHNIQUES; MULTI-MODAL BIOMETRICS; NEURAL NETWORK TECHNIQUES; RESILIENT BACKPROPAGATION; SCORE-LEVEL FUSION; SYSTEM ERROR RATE;

EID: 77649295235     PISSN: 18125638     EISSN: 18125646     Source Type: Journal    
DOI: 10.3923/itj.2010.188.191     Document Type: Article
Times cited : (11)

References (12)
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    • A classification approach to multi-biometric score fusion
    • Audio - and Video-Based Biometric Person Authentication: 5th International Conference, AVBPA 2005. Proceedings
    • Ma, Y., B. Cukic and H. Singh, 2005. A classification approach to multi-biometric score fusion. Proceedings of the International Conference on Audio and Video-Based Biometrie Person Authentication, Jul. 20-22, Hilton Rye Town, New York, USA., pp: 484-493. (Pubitemid 41423065)
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    • Exploiting discriminant information in non-negative matrix factorization with application to frontal face verification
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.