DocumentCode
2542560
Title
Fuzzy 2DLDA for Face Recognition
Author
Yang, Wankou ; Zhang, Lei ; Sun, Changyin
Author_Institution
Sch. of Autom., Southeast Univ., Nanjing, China
fYear
2009
fDate
4-6 Nov. 2009
Firstpage
1
Lastpage
4
Abstract
This paper proposes a new method of face image feature extraction, namely, the fuzzy 2DLDA (F2DLDA) based on the 2D fisher discriminant criterion and fuzzy set theory. In the proposed method, we calculate membership degree matrix by FKNN, then we incorporate the membership degree into the definition of the between-class scatter matrix and within-class scatter matrix and get the fuzzy between-class scatter matrix and fuzzy within-class scatter matrix. Experiments on the ORL and FERET face databases show that the new method can work well.
Keywords
S-matrix theory; face recognition; feature extraction; fuzzy set theory; visual databases; 2D Fisher discriminant criterion; face databases; face image feature extraction; face recognition; fuzzy 2DLDA; fuzzy set theory; scatter matrix; Automation; Biometrics; Face recognition; Feature extraction; Fuzzy set theory; Fuzzy sets; Linear discriminant analysis; Pattern recognition; Principal component analysis; Scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4199-0
Type
conf
DOI
10.1109/CCPR.2009.5344077
Filename
5344077
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