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An Efficient Face Recognition and Retrieval Using LBP and SIFT
YOGESH R. TAYADE PROF. S.M. BANSODE ME Scholar, Comp. Sci. & Engg. Government College of Engineering, Aurangabad, Maharashtra, India Asst. Prof. Dept. of Comp. Sci. & Engg. Government College of Engineering, Aurangabad, Maharashtra, India
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Abstract: In this paper, we have proposed a method for face recognition and retrieval. In most of the cases various methods are unable to increase retrieval rate of face images especially LFW images, with the help of proposed system the retrieval rate drastically increased. In face recognition, inter class objects should have larger distance than intra class objects ideally. By extracting LBP & SIFT features of training images and arranging them in sparse representation; shape context and inner distance shape contexts methods are applied on test image for deriving relevant images with better performance.
Keywords: LFW, Inner distance and shape context,SIFT, LBP.
Keywords: LFW, Inner distance and shape context,SIFT, LBP.
How to Cite:
[1] YOGESH R. TAYADE PROF. S.M. BANSODE ME Scholar, Comp. Sci. & Engg. Government College of Engineering, Aurangabad, Maharashtra, India Asst. Prof. Dept. of Comp. Sci. & Engg. Government College of Engineering, Aurangabad, Maharashtra, India, βAn Efficient Face Recognition and Retrieval Using LBP and SIFT,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.