Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
531990 | Pattern Recognition | 2006 | 5 Pages |
Abstract
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)2LDA method. Experimental results on ORL and Yale database show that the proposed method obtains good recognition accuracy despite having less number of coefficients.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
S. Noushath, G. Hemantha Kumar, P. Shivakumara,