DocumentCode
1563365
Title
Synergetic Face Recognition Algorithm Based on ICA
Author
Shao, Jing ; Gao, Jun ; Yang, Xuezhi
Author_Institution
Dept. of Comput. & Inf., Hefei Univ. of Technol.
Volume
1
fYear
2005
Firstpage
249
Lastpage
253
Abstract
In this paper, a synergetic face recognition algorithm based on ICA is presented. We utilize the face features extracted by the ICA algorithm as the prototype vector and test vector of the synergetic pattern recognition. The recognition result can be drawn from the dynamic evolvement equation of the order parameters. From the result of the simulated experiment, we can illustrate that the synergetic face recognition algorithm based on ICA not only has the high recognition ratio, but also has strong robustness for deformed, defiled, noised and low resolution images
Keywords
face recognition; image resolution; independent component analysis; dynamic evolvement equation; image resolution; independent component analysis; synergetic face recognition algorithm; Deformable models; Equations; Face recognition; Feature extraction; Image recognition; Independent component analysis; Noise robustness; Pattern recognition; Prototypes; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9422-4
Type
conf
DOI
10.1109/ICNNB.2005.1614608
Filename
1614608
Link To Document