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Extraction of Illumination Invariant Features using Fuzzy Threshold based Approach

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Intelligent Systems and Data Processing
© 2011 by IJCA Journal
ICISD - Article 4
Year of Publication: 2011
Authors:
R. M. Makwana
V. K. Thakar
N.C. Chauhan

R M Makwana, V K Thakar and N C Chauhan. Extraction of Illumination Invariant Features using Fuzzy Threshold based Approach. IJCA Special Issue on Intelligent Systems and Data Processing, pages 25-31, 2011. Full text available. BibTeX

@article{key:article,
	author = {R. M. Makwana and V. K. Thakar and N.C. Chauhan},
	title = {Extraction of Illumination Invariant Features using Fuzzy Threshold based Approach},
	journal = {IJCA Special Issue on Intelligent Systems and Data Processing},
	year = {2011},
	pages = {25-31},
	note = {Full text available}
}

Abstract

The field of face recognition is increasingly investigated for access control, face based search, passport processing, security, surveillance, etc. applications. Performance of face recognition systems under constrained environment is quite satisfactory, but face recognition in unconstrained environment is yet a challenging problem due to key technical challenging issues. Varying illumination is one of the key issues in real time face recognition applications. Experimental assessment of various methods developed by research community demonstrates that, yet there is a need and scope for improving methods to handle the varying illumination problem. In this paper, a novel approach, referred to as fuzzy threshold based local binary pattern is proposed for extracting illumination invariant features. Local binary pattern based method is modified by introducing a fuzzy based threshold for generating binary pattern. Effectiveness of proposed method is assessed on extended Yale B face database. Experimental results demonstrate that proposed method performs better than conventional binary pattern under complex illumination conditions.

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