Two-dimensional multiple maximum scatter difference method for face recognition

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• 作者：Yongfeng Qi ; Jiashu Zhang
• 关键词：Two-dimensional multiple maximum scatter difference ; Image matrices projection ; Face recognition
• 刊名：Applied Mathematics and Computation
• 出版年：2010
• 出版时间：15 August 2010
• 年：2010
• 卷：216
• 期：12
• 页码：3550-3557
• 全文大小：1150 K

文摘

In this paper we propose a two-dimensional multiple maximum scatter difference (2DMMSD) method for face representation and recognition. The new algorithm is based on multiple maximum scatter difference (MMSD) discriminant criterion and image matrices projection technique. The 2DMMSD method does not need to transform image matrix into a vector prior to feature extraction so that it is computationally more efficient and accurate than MMSD in extracting the facial features. Experimental results on ORL and Yale face databases demonstrate the effectiveness and robustness of the proposed method.