Face Recognition under Variable Illumination by Weighted-Subband Edge Enhancement

被引：0

作者：

Lai, Zhao-Rong ^{[1
]}

Dai, Dao-Qing ^{[1
]}

Pen, Chuan-Xian ^{[1
]}

机构：

[1] Sun Yat Sen Univ, Ctr Comp Vis, Xin Gang Xi Rd 135, Guangzhou, Guangdong, Peoples R China

来源：

PATTERN RECOGNITION | 2012年 / 321卷

关键词：

face recognition; weighted subbands; edge enhancement; wavelet decomposition; division histogram equalization; division border smoothing; DISCRETE COSINE TRANSFORM; NORMALIZATION; MODELS;

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：

This article presents a novel weighted-subband method based on wavelet for face recognition under variable illumination. Different levels of subbands contain different features of the edge of a human face image. Through assigning a weight to each subband, we can strengthen the features beneficial to recognition, and weaken the features detrimental to recognition. To make the edge of human face stand out, a new histogram equalization and border smoothing method is implemented before weighted-subband edge enhancement. Experiments on the Extended YaleB Database show promising performance.

引用

页码：324 / +

页数：3

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