DocumentCode
3502821
Title
An application of KPCA in the human face recognition
Author
Meng Qing Song ; Yuan Hai Bo
Author_Institution
Sch. of Autom., Harbin Univ. of Sci. & Technol., Harbin, China
Volume
02
fYear
2013
fDate
16-18 Aug. 2013
Firstpage
1077
Lastpage
1080
Abstract
A face recognition method that based on KPCA and SVM is proposed in this paper. In the method, an SVM support vector machine is employed to process a small-sample-size problem and KPCA kernel principal component analysis is applied to deal with a high order statistics of original data, and to describe the correlation among multiple pixels in an image.
Keywords
correlation methods; face recognition; higher order statistics; principal component analysis; support vector machines; KPCA; correlation; high order statistics; human face recognition; kernel principal component analysis; multiple pixels; small-sample-size problem; support vector machine; Support vector machines; Kernel Principal Component Analysis; Support Vector Machine; human face recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4799-1390-9
Type
conf
DOI
10.1109/MIC.2013.6758146
Filename
6758146
Link To Document