DocumentCode :
2692576
Title :
Extraction of hybrid trace features with evolutionary computation for face recognition
Author :
Liu, Nan ; Wang, Han
Author_Institution :
Nanyang Technol. Univ., Singapore
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
2493
Lastpage :
2500
Abstract :
The hybrid trace features (HTF), a new face representation, is proposed for face authentication system. Trace transforms of multiple Trace functionals are used to construct the HTF, and Genetic Algorithms is implemented as the data fusion tool. In addition, rotation based hybrid trace features (r-HTF) is also introduced as facial features. The systemic evaluations on Cambridge ORL face database reveal that HTF and r-HTF present high discriminatory power and outperform the features extracted by principal component analysis (PCA), linear discriminant analysis (LDA) and kernel PCA in the task of classification.
Keywords :
face recognition; feature extraction; genetic algorithms; image classification; image representation; principal component analysis; sensor fusion; visual databases; Cambridge ORL face database; data fusion; evolutionary computation; face authentication system; face database; face recognition; face representation; genetic algorithms; hybrid trace feature extraction; image classification; linear discriminant analysis; principal component analysis; trace functionals; Authentication; Data mining; Evolutionary computation; Face recognition; Facial features; Feature extraction; Genetic algorithms; Linear discriminant analysis; Principal component analysis; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4424784
Filename :
4424784
Link To Document :
بازگشت