DocumentCode
468909
Title
Fuzzy inverse fisher discriminant analysis for face recgonition
Author
Yang, Wan-kou ; Wang, Jian-guo ; Ren, Ming-wu ; Yang, Jing-Yu
Author_Institution
Nanjing Univ. of Sci. & Technol., Nanjing
Volume
1
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
107
Lastpage
111
Abstract
This paper proposes a new method of face image feature extraction, namely, the fuzzy inverse Fisher discriminant analysis (FIFDA) based on the inverse fisher discriminant criterion and fuzzy set theory. Experiments on the ORL and FERET face databases show that the new method outperforms the Fisherface and the inverse fisher discriminant analysis.
Keywords
face recognition; feature extraction; fuzzy set theory; statistical analysis; face recognition; feature extraction; fuzzy inverse Fisher discriminant analysis; fuzzy set theory; inverse fisher discriminant criterion; Face recognition; Feature extraction; Fuzzy set theory; Fuzzy sets; Image analysis; Linear discriminant analysis; Pattern analysis; Pattern recognition; Principal component analysis; Scattering; FDA; Face Recognition; Feature extraction; Fuzzy IFDA; Inverse FDA;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1065-1
Electronic_ISBN
978-1-4244-1066-8
Type
conf
DOI
10.1109/ICWAPR.2007.4420646
Filename
4420646
Link To Document