(2D)2LDA: An efficient approach for face recognition
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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)2LDA method. Experimental results on ORL and Yale database show that the proposed method obtains good recognition accuracy despite having less number of coefficients.
论文关键词:Principal component analysis,Linear discriminant analysis,Face recognition
论文评审过程:Received 31 August 2005, Accepted 24 January 2006, Available online 22 March 2006.
论文官网地址:https://doi.org/10.1016/j.patcog.2006.01.018