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

Noushath, S. and Hemantha Kumar, G. and Shivakumara, P. (2006) (2D)2LDA: An efficient approach for face recognition. Pattern Recognition, 39 (7). 1396 - 1400. ISSN 0031-3203

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Official URL: https://doi.org/10.1016/j.patcog.2006.01.018

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.

Item Type: Article
Uncontrolled Keywords: Principal component analysis, Linear discriminant analysis, Face recognition
Subjects: D Physical Science > Computer Science
Divisions: Department of > Computer Science
Depositing User: LA manjunath user
Date Deposited: 20 Aug 2019 10:01
Last Modified: 16 Nov 2019 09:46
URI: http://eprints.uni-mysore.ac.in/id/eprint/6813

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