Face Recognition and Verification using Histogram Equalization

被引：0

作者：

Ramirez-Gutierrez, Kelsey ^{[1
]}

Cruz-Perez, Daniel ^{[1
]}

Perez-Meana, Hector ^{[1
]}

机构：

[1] Natl Polytech Inst, Mech & Elect Engn Sch, Postgrad Sect Studies & Invest, Av Santa Ana 1000 Col San Francisco Culuhacan, Mexico City, DF, Mexico

来源：

SELECTED TOPICS IN APPLIED COMPUTER SCIENCE | 2010年

关键词：

Histogram Equalization; Fast Fourier Transform; Principal Component Analysis; PHASE;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper proposes a face recognition and verification algorithm based on histogram equalization to standardize the faces illumination reducing in such way the variations for further features extraction; using the image phase spectrum and principal components analysis, which allow the reduction of the data dimension without much information loss. Evaluation results show the desirable features of proposal scheme reaching recognition rate over 97% and a verification error lower than 0.003%

引用

页码：85 / +

页数：2

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