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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 6, ISSUE 3, MARCH 2017

Optimal Face Retrieval From LFW Dataset

Priyanka A. Deshmukh, Prof. S.P. Abhang

DOI: 10.17148/IJARCCE.2017.63104

Abstract: A method for face retrieval will proposed to describe. In most of the cases various methods are unable to increase retrieval rate of face images especially LFW images, by using this proposed system the retrieval rate increased. In face retrieval, objects of inter class should have larger distance than intra class objects. By extracting LBP & SIFT features of training image, shape context and inner distance shape contexts methods are applied on test image for deriving relevant images with better performance.In particular, when measures the input distance are quite different from the truth or the variance of data from the same class is too large, in such a condition, our proposed system will use the algorithm �Optimal Face Retrieval�.



Keywords: LFW, IDSC,SIFT, LBP.

How to Cite:

[1] Priyanka A. Deshmukh, Prof. S.P. Abhang, “Optimal Face Retrieval From LFW Dataset,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.63104