A comparison between two preprocessing techniques in PCA-based face recognition

被引：0
|
作者：
Ciocoiu, IB [1 ]
Valmar, B [1 ]
机构：
[1] Tech Univ Iasi, Fac Elect & Telecommun, Iasi, Romania
来源：
SCS 2003: INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS, VOLS 1 AND 2, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a comparative analysis of the recognition performances of 2 different preprocessing techniques for face recognition applications. The specific methods are projection-combined principal component analysis ((PC)(2) A) and eigenhills, which are compared against standard eigenface method. Recognition performances are computed using different distance measures and number of training, images on the Olivetti database.
引用
收藏
页码：285 / 288
页数：4
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