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