Biomimetic pattern face recognition based on DCT and LDA

Authors:
Jing Shao;Jia-fu Jiang;Xiao-wei Liu
Affiliations:
Institute of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China;Institute of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China;Institute of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China
Venue:
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Year:
2011

Citing 3
Cited 0

Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces

IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using PCA and DCT

ICMENS '09 Proceedings of the 2009 Fifth International Conference on MEMS NANO, and Smart Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

A new method of Biomimetic pattern face recognition theory based on DCT and LDA Transform is proposed. This method has solved the problem of the low recognition rate and the excessively high dimension problem. The features of human face on the training samples are extracted through DCT and LDA, mapping them into the high-dimensional space through Kernel function, and then use it to construct the cover region of each kind of sample. The person face is distinguished through the judgment that the person face characteristics belong to which kind of cover region or don't belong to any region. The experiment on the Yale and ORL face database demonstrated the efficiency and the feasibility of our algorithm.