Open AccessA novel approach for Face Recognition using Local Binary Pattern
Author(s) -
Sonal R. Ahirrao,
D. S. Bormane
Publication year - 2012
Publication title -
international journal of image processing and vision sciences
Language(s) - English
Resource type - Journals
ISSN - 2278-1110
DOI - 10.47893/ijipvs.2012.1005
Subject(s) - local binary patterns , artificial intelligence , pattern recognition (psychology) , facial recognition system , computer science , biometrics , face (sociological concept) , invariant (physics) , feature extraction , image (mathematics) , binary number , feature (linguistics) , computer vision , histogram , mathematics , social science , sociology , linguistics , philosophy , arithmetic , mathematical physics
This paper presents Local Binary pattern (LBP) as an approach for face recognition with the use of some global features also. Face recognition has received quite a lot of attention from researchers in biometrics, pattern recognition, and computer vision communities. The idea behind using the LBP features is that the face images can be seen as composition of micro-patterns which are invariant with respect to monotonic grey scale transformations and robust to factors like ageing. Combining these micro-patterns, a global description of the face image is obtained. Efficiency and the simplicity of the proposed method allows for very fast feature extraction giving better accuracy than the other algorithms. The proposed method is tested and evaluated on ORL datasets combined with other university dataset to give a good recognition rate and 89% classification accuracy using LBP only and 98% when global features are combined with LBP. The method is also tested for real images to give good accuracy and recognition rate. The experimental results show that the method is valid and feasible.