DocumentCode :
1986984
Title :
Illumination normalization preprocessing for face recognition
Author :
Sharif, Muhammad ; Mohsin, Sajjad ; Jamal, Muhammad Jawad ; Raza, Mudassar
Author_Institution :
Dept. of Comput. Sci., COMSATS Inst. of Inf. Technol., Wah Cantt, Pakistan
Volume :
2
fYear :
2010
fDate :
17-18 July 2010
Firstpage :
44
Lastpage :
47
Abstract :
This paper describes an illumination normalization technique which works at the pre-processing stage where the face image is first divided into equal sub-regions. Each sub-region is then processed separately for illumination normalization. Then the segments are joined back followed by further processing like noise removal and contrast enhancement. The proposed technique is tested on Yale dataset and compared with some previous illumination normalization techniques.
Keywords :
face recognition; feature extraction; image denoising; image enhancement; image segmentation; lighting; Yale dataset; face recognition; illumination normalization preprocessing; image contrast enhancement; image noise removal; Databases; Histograms; Pattern recognition; Radio access networks; Rendering (computer graphics); Silicon; Face; Illumination; Normalization; Preprocessing; Yale;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
Type :
conf
DOI :
10.1109/ESIAT.2010.5567274
Filename :
5567274
Link To Document :
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