Hybrid Feature Extraction Technique for Face Recognition

被引：0

作者：

Kakarwal, Sangeeta N. ^{[1
]}

Deshmukh, Ratnadeep R. ^{[2
]}

机构：

[1] PES Coll Engn, Dept Comp Sci & Engn, Aurangabad, India

[2] Dr Babasaheb Ambedkar Marathwada Univ, Dept Comp Sci & IT, Aurangabad, India

来源：

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2012年 / 3卷 / 02期

关键词：

Biometric; Chi square test; Entropy; FFNN; SOM;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents novel technique for recognizing faces. The proposed method uses hybrid feature extraction techniques such as Chi square and entropy are combined together. Feed forward and self-organizing neural network are used for classification. We evaluate proposed method using FACE94 and ORL database and achieved better performance.

引用

页码：60 / 64

页数：5

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