A Classifier Ensemble for Face Recognition Using Gabor Wavelet Features

被引：0

作者：

Parvin, Hamid ^{[1
]}

Mozayani, Nasser ^{[1
]}

Beigi, Akram ^{[1
]}

机构：

[1] Iran Univ Sci & Technol IUST, Sch Comp Engn, Tehran, Iran

来源：

COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS | 2011年 / 6694卷

关键词：

Classifier Ensemble; Gabor Wavelet Features; Face Recognition; Image Processing;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Gabor wavelet-based methods have been proven that are useful in many problems including face detection. It has been shown that these features tackle well facing into image recognition. In image identification, while there is a number of human faces in a repository of employees, it is aimed to identify the face of an arrived employee is which one? So the application of gabor wavelet-based features is reasonable. We propose a weighted majority average voting classifier ensemble to handle the problem. We show that the proposed mechanism works well in an employees' repository of our laboratory.

引用

页码：301 / 307

页数：7

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