Hybrid of the approximate neural network with sparse RAM and Fisher's linear discriminant for face recognition

被引：0

作者：

Zhou, ZH ^{[1
]}

Sun, YX ^{[1
]}

Wu, LN ^{[1
]}

机构：

[1] Southeast Univ, Dept Radio Engn, Nanjing 210096, Peoples R China

来源：

PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2 | 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：

In this paper, a face recognition approach based on the hybrid of the Approximate Neural Network with Sparse RAM (SN-tuple) and Fisher's Linear Discriminant (FLD) is presented. Firstly, the data of original face images are imported into the. SN-tuple to classify these faces roughly. Then FLD, a classical statistical pattern recognition method, are used to classify these faces precisely. Experimental results demonstrate that this proposed approach achieves better performance than the SN-tuple and FLD for face recognition respectively.

引用

页码：212 / 215

页数：4

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