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
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;
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
DOI :
10.1109/ICWAPR.2007.4420646
