Face recognition with Symmetric Local Graph Structure (SLGS)


Abdullah, Mohd Fikri Azli and Sayeed, Md. Shohel and Sonai Muthu, Kalaiarasi and Bashier, Housam Khalifa and Azman, Afizan and Ibrahim, Siti Zainab (2014) Face recognition with Symmetric Local Graph Structure (SLGS). Expert Systems with Applications, 41 (14). pp. 6131-6137. ISSN 0957-4174

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Face recognition demonstrates the significant progress in the research field of biometric and computer vision. The fact is due to the current systems perform well under relatively control environments but tend to suffer when the present of variation in pose, illumination, and facial expression. In this work, a novel approach for face recognition called Symmetric Local Graph Structure (SLGS) is presented based on the Local Graph Structure (LGS). Each pixel is represented with a graph structure of its neighbours’ pixels. The histograms of the SLGS were used for recognition by using the nearest neighbour classifiers that include Euclidean distance, correlation coefficient and chi-square distance measures. AT&T and Yale face databases were used to be experimented with the proposed method. Extensive experiments on the face database clearly showed the superiority of the proposed approach over Local Binary Pattern (LBP) and LGS. The proposed SLGS is robust to variation in term of facial expressions, facial details, and illumination. Due to good performance of SLGS, it is expected that SLGS has a potential for application implementation in computer vision.

Item Type: Article
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 05 May 2014 06:56
Last Modified: 05 Jan 2017 04:44
URII: http://shdl.mmu.edu.my/id/eprint/5453


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