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

Authors:
S. Noushath;G. Hemantha Kumar;P. Shivakumara
Affiliations:
Department of Studies in Computer Science, University of Mysore, Manasagangothri, Mysore 570006, Karnataka, India;Department of Studies in Computer Science, University of Mysore, Manasagangothri, Mysore 570006, Karnataka, India;Department of Computer Science, School of Computing, National University of Singapore (NUS), 3 Science, Drive 2, Singapore 117543
Venue:
Pattern Recognition
Year:
2006

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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.