Two-dimensional multiple maximum scatter difference method for face recognition

被引：1
|
作者：
Qi, Yongfeng [1 ,2 ]
Zhang, Jiashu [1 ]
机构：
[1] SW Jiaotong Univ, Sichuan Prov Key Lab Signal & Informat Proc, Chengdu 610031, Sichuan, Peoples R China
[2] NW Normal Univ, Coll Math & Informat Sci, Lanzhou 730070, Gansu, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2010年 / 216卷 / 12期
基金：
高等学校博士学科点专项科研基金; 美国国家科学基金会;
关键词：
Two-dimensional multiple maximum scatter difference; Image matrices projection; Face recognition; IMAGE;
D O I：
10.1016/j.amc.2010.04.076
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
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. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码：3550 / 3557
页数：8
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