An efficient method for recognition of human faces using higher orders Pseudo Zernike Moment Invariant

被引：20

作者：

Haddadnia, J ^{[1
]}

Ahmadi, M ^{[1
]}

Faez, K ^{[1
]}

机构：

[1] Univ Windsor, ECE Dept, Windsor, ON N9B 3P4, Canada

来源：

FIFTH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/AFGR.2002.1004175

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces a new method for the recognition of human faces in 2-Dimensinal digital images using a new localization of facial information and Pseudo Zernike Moment Invariants (PZMI) as features and Radial Basis Function (RBF) neural network as classifier. In this paper the effect of two parameters in recognition rate improvement are studied. These include the order of the PZMI as well as Facial Candidate Ratio (FCR) of images. The test result are carried out on Olivetti Research Laboratory (ORL) database and a comparative study with two of the existing techniques are included to show the effectiveness of the proposed technique.

引用

页码：330 / 335

页数：6

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