Face recognition on the basis of moment invariants, principal component analysis and correlation

被引：1

作者：

Perju, Veacheslav ^{[1
,3
]}

Casasent, David ^{[2
]}

Mardare, Igor ^{[1
]}

Crivat, Andrei ^{[1
]}

机构：

[1] Tech Univ Moldova, Dept Informat, Stefan Mare 168, MD-2012 Kishinev, Moldova

[2] Carnegie Mellon Univ, Dept Elect & Comp Engn, Pittsburgh, PA 15213 USA

[3] Free Int Univ Moldova, Fac Informat & Engn, MD-2004 Kishinev, Moldova

来源：

OPTICAL PATTERN RECOGNITION XIX | 2008年 / 6977卷

关键词：

face; image; recognition; system; moment invariants; PCA; correlation; mask; invariant;

D O I：

10.1117/12.778146

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

There are presented the results of investigation of the algorithms of invariant face recognition of masked persons. There are described 3 algorithms based on Image Moments Features, Principal Component Analyses algorithm and Correlation algorithm. It is presented the description of the elaborated software for PC based face recognition, created in Borland C++ Builder environment. There are presented the data of the face recognition in conditions of masking, change of the rotation, scale of the images.

引用

页数：11

共 6 条

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