DocumentCode :
3202496
Title :
A Novel Method for Color Face Recognition
Author :
Yuwu Lu
Author_Institution :
Bio-Comput. Res. center, Harbin Inst. of Technol., Shenzhen, China
fYear :
2012
fDate :
8-10 Dec. 2012
Firstpage :
806
Lastpage :
808
Abstract :
A two-phase test sample sparse representation method (TPTSR) attracted wide attentions for its good performance after it had been proposed. This good method just exploited gray images for face recognition rather than color face recognition. In this paper, we extend TPTSR for color face recognition. We first exploit the first, second and third channels of each color image to produce recognition scores and then use a fusion scheme to obtain the ultimate fusion score for face recognition. Finally we use the fusion score to classify test samples. Our experiments compare our method with the original TPTSR, PCA, LDA, LPCA, KLDA on AR color face database. Our experiment results demonstrate that our method take a good performance on color face recognition.
Keywords :
face recognition; grey systems; image fusion; image representation; TPTSR; color face recognition; fusion scheme; gray images; novel method; two phase test sample sparse representation method; Color; Databases; Face; Face recognition; Image color analysis; Principal component analysis; Training; color channel; face recognition; fusion scheme; weight coefficient;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-5034-1
Type :
conf
DOI :
10.1109/IMCCC.2012.194
Filename :
6429029
Link To Document :
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