(2D)2 LDA:: An efficient approach for face recognition

PATTERN RECOGNITION

卷:39

Article

Noushath, S. ; Kumar, G. Hemantha ; Shivakumara, P.

关键词: principal component analysis;    linear discriminant analysis;    face recognition;   

DOI  :  10.1016/j.patcog.2006.01.018

来源: Elsevier

【 摘 要 】

Although 2DLDA algorithm obtains higher recognition accuracy, a vital unresolved problem of 2DLDA is that it needs huge feature matrix for the task of face recognition. To overcome this problem, this paper presents an efficient approach for face image feature extraction, namely, (2D)(2)LDA method. Experimental results on ORL and Yale database show that the proposed method obtains good recognition accuracy despite having less number of coefficients. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

【 授权许可】

Free