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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161838