DocumentCode
3205879
Title
The improved multi-scale Retinex algorithm and its application in face recognition
Author
Shengtao Ma ; Zengru Jiang ; Ting Zhang
Author_Institution
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear
2015
fDate
23-25 May 2015
Firstpage
5785
Lastpage
5788
Abstract
In this paper an improved multi-scale Retinex algorithm is studied to solve the insufficiency that the traditional multi-scale Retinex algorithm is incapable of non-uniform illumination images. Before being processed by the multi-scale Retinex algorithm, the given images are preprocessed by a nonlinear transformation to make the illumination of images tends to uniform. Besides, the improved algorithm is combined with PCA and LDA algorithm and apply for face recognition to identify the face images under complex illumination. Simulations show that the improved algorithm has a better ability for various illumination, and it increases the recognition rate under complex illumination.
Keywords
face recognition; principal component analysis; LDA algorithm; PCA; complex illumination; face images identification; face recognition; images preprocessing; linear discriminant analysis; multiscale Retinex algorithm; nonlinear transformation; nonuniform illumination images; principal component analysis; Algorithm design and analysis; Dynamic range; Face; Face recognition; Lighting; Principal component analysis; Robustness; complex illumination; face recognition; multi-scale Retinex; nonlinear transformation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7161838
Filename
7161838
Link To Document