Decision fusion based on voting scheme for IR and visible face recognition

• Autorzy: Shahbe M. D. , Hati S.
• Języki publikacji: EN

Abstrakty

EN

In this paper we present an evaluation study of decision fusion strategies for infrared (IR) and visible face recognition. Several decision fusion methods based on a voting scheme (minimization, product and averaging) are discussed, and experiments for various conditions of probe and gallery sets are performed on two databases with paired IR and visible face imageries. The Eigenfaces and Fisherface classification techniques are used to extract the face features, and the performance of fusion methods on both classification approaches is discussed.

Słowa kluczowe

EN

face recognition; IR; visible; decision fusion; eigenfaces; Fisherfaces

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2008
• Tom: Vol. 17, No. 4
• Strony: 403--424
• Opis fizyczny: Bibliogr. 22 poz., tys., tab., wykr.

Twórcy

autor

Shahbe M. D.

autor

Hati S.

• Faculty of Information Technology. Multimedia University, 63100 Cyberjaya, Malaysia,

Bibliografia

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