Research on Face Recognition Based on Boolean Kernel SVM

Author

Cui, Kebin ; Han, Feng ; Wang, Ping

Author_Institution

Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding

Volume

2

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

148

Lastpage

152

Abstract

For the problem of face recognition, a recognizing strategies based on Boolean kernel function SVM is proposed. Firstly, Karhunen-Loeve transform is employed to get the representation basis of face image set, secondly, the extracted characteristics is translated into 0-1 format, thirdly, SVM based Boolean kernel function are used to classify. The face recognition experiment with ORL face databases shows that the proposed method led to significantly better recognition accuracy compared with traditional PCA method and linear SVM.

Keywords

Boolean functions; face recognition; principal component analysis; support vector machines; Boolean kernel function; Karhunen-Loeve transform; ORL face databases; face recognition; principal component analysis; support vector machines; Character recognition; Face detection; Face recognition; Feature extraction; Image recognition; Kernel; Machine learning; Principal component analysis; Support vector machine classification; Support vector machines; Boolean kernel function; Karhunen-Loeve transform; face recognition; multi-classification; support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2008. ICNC '08. Fourth International Conference on

Conference_Location

Jinan

Print_ISBN

978-0-7695-3304-9

Type

conf

DOI

10.1109/ICNC.2008.721

Filename

4666975