2D Pairwise FLD: A robust methodology for face recognition

被引：5

作者：

Guru, D. S. ^{[1
]}

Vikrarn, T. N. ^{[2
]}

机构：

[1] Univ Mysore, Dept Studies Comp Sci, Manasagangothri, Mysore 570006, Karnataka, India

[2] Univ Mysore, Int Sch Informat Management, Mysore 570006, Karnataka, India

来源：

2007 IEEE WORKSHOP ON AUTOMATIC IDENTIFICATION ADVANCED TECHNOLOGIES, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/AUTOID.2007.380600

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a two dimensional pairwise Fisher's linear discriminant (FLD), 2DPairwise FLD is proposed which is employed for face representation and recognition. The proposed methodology is robust as it is based on Pairwise-FLD[1] which is theoretically more efficient than conventional FLD. In addition to this the proposed methodology has a higher recognition rate when benchmarked with contemporary models like 2D-PCA[2], Alt. 2D-PCA[3], 2D-LDA[4], Alt. 2D-FLD[5], 2D 2-FLD[5] and 2D 2-PCA[3] during experimentation.

引用

页码：99 / +

页数：2

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