Wavelet-based FLD for face recognition

被引：0

作者：

Lee, WS ^{[1
]}

Lee, HJ ^{[1
]}

Chung, JH ^{[1
]}

机构：

[1] Inha Univ, Dept Elect Engn, Inchon 402751, South Korea

来源：

PROCEEDINGS OF THE 43RD IEEE MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS I-III | 2000年

关键词：

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：

We introduce, in this paper, a face recognition method which employs the wavelet-based FLD (Fisher Linear Discriminant). This paper deals with accuracy as well as facial speed for face recognition. An image of 128x128 is decomposed to sub-images with 16x16 resolution by wavelet transform. Then two sub-images of low and mid-range frequency bands are trained and used to recognize faces. Experimental results show that the proposed algorithm is faster maintaining the recognition rate of original FLD method. Our experiments, the computational time is reduced by factor of about 6.

引用

页码：734 / 737

页数：4

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