Robust face recognition by combining wavelet decomposition and local hybrid projection entropy

Author

Huang, Yuan-Yuan ; Li, Jian-ping ; Lin, Jie ; Hao, Yu-jie ; Duan, Gui-duo

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2009

fDate

23-25 Oct. 2009

Firstpage

325

Lastpage

328

Abstract

This paper firstly shows the entire picture of a promising research area, face recognition. Then a new face recognition method is proposed, mainly based on the combination of wavelet transform and local hybrid projection entropy (LHPE). Some classical image processing methods are included to constitute a cascade framework. The experimental results on Yale face database and Yale B face database show that this method is effective and competitive, especially robust to illumination changes.

Keywords

entropy; face recognition; wavelet transforms; Yale B face database; local hybrid projection entropy; processing methods; robust face recognition method; wavelet decomposition; wavelet transform; Computer science; Discrete wavelet transforms; Entropy; Face recognition; Image databases; Lighting; Robustness; Spatial databases; Wavelet analysis; Wavelet transforms; Face recognition; illumination compensation; local hybrid projection entropy; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5204-0

Electronic_ISBN

978-1-4244-5206-4

Type

conf

DOI

10.1109/ICACIA.2009.5361090

Filename

5361090