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
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;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6758146
