Title :
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
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;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.721
