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ADVANCES IN INDUSTRIAL ENGINEERING AND MANAGEMENT
ISSN:2222-7059 (Print);EISSN: 2222-7067 (Online)
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Title : A Compressive Sensing Based Robust Face Recognition Method
Author(s) : Suparna Biswas
Author affiliation : Gurunanak Institute of Technology, 700114, India
Corresponding author img Corresponding author at : Corresponding author img  

Abstract:
In this paper an integrated face recognition method has been proposed to recognize the face images. This integrated framework combines the compressive sensing (CS) and Local Binary Pattern (LBP). The image is at first divided into small blocks and local binary pattern is generated corresponding to each block. Features are extracted from the LBP transformed image using blockwise histograms with variable no of bins. For classification we use compressive sensing based sparse representation classification (SRC). To study the robustness of our method, the classifier is studied on clean and occluded images. The experimental results give promising performance of the proposed face recognition method on JAFFE and ORL database

Key words:Face recognition; compressive sensing; local binary patterens

Cite it:
Suparna Biswas, A Compressive Sensing Based Robust Face Recognition Method , Advances in Industrial Engineering and Management, vol. 6, no. 2, 2017, pp. 103-106, doi: 10.7508/aiem.2017.02.008

Full Text : PDF(size: 368.37 kB, 103-106, Download times:31)

DOI : 10.7508/aiem.2017.02.008

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