Open AccessPerformance Study of Soft Local Binary Pattern over Local Binary Pattern under Noisy Images
Author(s) -
Sabina Yasmin,
Md. Masud Rana
Publication year - 2016
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v6i3.pp1161-1167
Subject(s) - local binary patterns , artificial intelligence , canny edge detector , pattern recognition (psychology) , computer science , binary number , enhanced data rates for gsm evolution , edge detection , computation , computer vision , face (sociological concept) , image (mathematics) , mathematics , image processing , histogram , algorithm , social science , arithmetic , sociology
In this paper, the performance of soft local binary pattern (SLBP) method has been investigated with edge detection techniques for face recognition in case of noisy condition. Various edge detection techniques such as Canny, Robert and Log methods have been used with SLBP for recognizing faces. The results obtained using SLBP with various edge detection for noisy condition based on image quality measurement shows better recognition rate compared to the results obtained using local binary pattern (LBP). Simplified edge detection methods simplify the images as a result SLBP with edge detection requires less computation time compared with edge detection of LBP.