DocumentCode
3095766
Title
Using LBP histogram for face recognition on Android platform
Author
Lu, Kuikui ; Dong, Lanfang
Author_Institution
Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
Volume
1
fYear
2011
fDate
11-13 March 2011
Firstpage
266
Lastpage
268
Abstract
In this paper, a new face recognition method based on local binary pattern(LBP) histogram is presented. First, the grey face image is divided into several parts, and then the LBP histogram of each part is calculated and concatenated together. Second, extract other concatenated histograms using different LBP operators and image blocking patterns. All the histograms above are concatenated into the ultimate vector. The proposed approach was tested using Yale face database on Android platform. Experimental results demonstrate that the combined LBP histogram feature has an encouraging performance for face recognition.
Keywords
face recognition; feature extraction; visual databases; Android; Yale face database; face recognition; grey face image; image blocking pattern; local binary pattern histogram; Face; Face recognition; Feature extraction; Histograms; Lighting; Pixel; Smart phones; Android platform; LBP histogram; face recognition; image blocking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-839-6
Type
conf
DOI
10.1109/ICCRD.2011.5764017
Filename
5764017
Link To Document