• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Face Recognition based on Weber Symmetrical Local Graph Structure


Abstract

Weber Local Descriptor (WLD) is a stable and effective feature extraction algorithm, which is based on Weber's Law. It calculates the differential excitation information and direction information, and then integrates them to get the feature information of the image. However, WLD only considers the center pixel and its contrast with its surrounding pixels when calculating the differential excitation information. As a result, the illumination variation is relatively sensitive, and the selection of the neighbor area is rather small. This may make the whole information is divided into small pieces, thus, it is difficult to be recognized. In order to overcome this problem, this paper proposes Weber Symmetrical Local Graph Structure (WSLGS), which constructs the graph structure based on the 5 × 5 neighborhood. Then the information obtained is regarded as the differential excitation information. Finally, we demonstrate the effectiveness of our proposed method on the database of ORL, JAFFE and our own built database, high-definition infrared faces. The experimental results show that WSLGS provides higher recognition rate and shorter image processing time compared with traditional algorithms.


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Cite this article

[IEEE Style]
Jucheng Yang, Lingchao Zhang, Yuan Wang, Tingting Zhao, Wenhui Sun and Dong Sun Park, "Face Recognition based on Weber Symmetrical Local Graph Structure," KSII Transactions on Internet and Information Systems, vol. 12, no. 4, pp. 1748-1759, 2018. DOI: 10.3837/tiis.2018.04.019

[ACM Style]
Yang, J., Zhang, L., Wang, Y., Zhao, T., Sun, W., and Park, D. S. 2018. Face Recognition based on Weber Symmetrical Local Graph Structure. KSII Transactions on Internet and Information Systems, 12, 4, (2018), 1748-1759. DOI: 10.3837/tiis.2018.04.019