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Decision fusion for face authentication

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Czyz, J. Sadeghi, M Kittler, J Vandendorpe, Luc [UCL]

In this paper we study two aspects of decision fusion for enhancing face authentication. First, sequential fusion of scores obtained on successive video frames of a user's face is used to reduce the error rate. Secondly, the opinions of several face authentication algorithms are combined so that the combined decision is more accurate than the best algorithm alone. The experiments performed on a realistic database demonstrate that the fully automatic multi-frame - multi-experts system proposed in this work allows a significant improvement over the static single-expert system.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Access type Accès restreint
Publication date 2004
Language Anglais
Conference "1st International Conference on Biometric Authentication", Hong Kong(Peoples R China) (Jul 15-17, 2004)
Journal information "Lecture Notes in Computer Science" - Vol. 3072, p. 686-693 (2004)
Peer reviewed yes
issn 0302-9743
e-issn 1611-3349
Host document "First International Conference on Biometric Authentication"- 686-693
Publisher Springer-verlag Berlin (Berlin)
Publication status Publié
Affiliation UCL - Autre
Links
Bibliographic reference Czyz, J. ; Sadeghi, M ; Kittler, J ; Vandendorpe, Luc. Decision fusion for face authentication.1st International Conference on Biometric Authentication (Hong Kong(Peoples R China), Jul 15-17, 2004). In: Lecture Notes in Computer Science, Vol. 3072, p. 686-693 (2004)In: First International Conference on Biometric Authentication, Springer-verlag Berlin : Berlin2004, p.686-693
Permanent URL http://hdl.handle.net/2078.1/61246