New Approaches for Face Recognition Using Neural Networks

被引：0

作者：

Tallab, Omid Morad ^{[1
]}

Tallab, Rasoul Morad ^{[2
]}

机构：

[1] Azad Univ, Bourojerd Branch, Dept Elect Engn, Bourojerd, Lorestan, Iran

[2] Azad Univ, South Tehran Branch, Tehran, Iran

来源：

PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON SIGNAL, SPEECH AND IMAGE PROCESSING (SSIP '08): SIGNAL, SPEECH AND IMAGE PROCESSING | 2008年

关键词：

Face detection; Neural Networks; Multi-layer Perception; Gabor wavelets; FLD; NFS; ORL data;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper propose new hybrid approaches for face recognition. Gabor wavelets representation of face images is an effective approach for both facial action recognition and face identification. Perform dimensionality reduction and linear discriminant analysis on the down sampled Gabor wavelet faces can increase the discriminant ability. Nearest feature space is extended to various similarity measures. In our experiments.. proposed Gabor wavelet faces combined with extended net feature space classifier shows very good performance, which can achieve 93 % maximum correct recognition rate on ORL data set without any pre-processing step.

引用

页码：189 / +

页数：2

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