DocumentCode
3300045
Title
Decision Fusion Based on Voting Scheme for IR and Visible Face Recognition
Author
Shahbe, M.D. ; Hati, S.
Author_Institution
Fac. of Inf. Technol., Multimedia Univ., Cyberjaya
fYear
2007
fDate
14-17 Aug. 2007
Firstpage
358
Lastpage
364
Abstract
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 voting scheme (minimization, product and averaging) are discussed and experiments for various conditions of probe set are performed on two databases with paired IR and visible face imageries. The eigenfaces and Fisherfaces classification techniques are used to extract the face features and the performance of fusion methods are discussed.
Keywords
eigenvalues and eigenfunctions; face recognition; feature extraction; image classification; image fusion; infrared imaging; Fisherfaces classification; decision fusion; eigenfaces; feature extraction; infrared face recognition; visible face recognition; voting scheme; Face recognition; Glass; Humans; Information technology; Linear discriminant analysis; Minimization methods; Multimedia databases; Principal component analysis; Probes; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics, Imaging and Visualisation, 2007. CGIV '07
Conference_Location
Bangkok
Print_ISBN
0-7695-2928-3
Type
conf
DOI
10.1109/CGIV.2007.33
Filename
4293698
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