Illumination Invariant Face Recognition Using Fuzzy LDA and FFNN

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Journal of Signal and Information Processing

ISSN Print: 2159-4465
ISSN Online: 2159-4481
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"Illumination Invariant Face Recognition Using Fuzzy LDA and FFNN"
written by Behzad Bozorgtabar, Hamed Azami, Farzad Noorian,
published by Journal of Signal and Information Processing, Vol.3 No.1, 2012

has been cited by the following article(s):

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[2]	RowAMD Distance: A Novel 2DPCA-Based Distance Computation with Texture-Based Technique for Face Recognition.
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[3]	RowAMD Distance: A Novel 2DPCA-Based Distance Computation with Texture-Based Technique for Face Recognition
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[4]	The Impact of Bio-Inspired Approaches Toward the Advancement of Face Recognition
	ACM Computing Surveys (CSUR), 2015

[5]	Smartphone: The key to your connected smart home
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[6]	The Application of Rough Set Theory and Near Set Theory to Face Recognition Problem
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[7]	Towards Practical Face Recognition System Employing Row-based Distance Method in 2DPCA Based Algorithms
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[8]	Reconstrução 3D de chapas conformadas através de visão artificial
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[9]	Rough membership function based illumination classifier for illumination invariant face recognition
	Applied Soft Computing, 2013

[10]	Fuzzy Diagonal 2DLDA Algorithm
	International Journal of Digital Content Technology & its Applications, 2013

[1]	Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications Advances in Computational Intelligence and Robotics, 2016 DOI:10.4018/978-1-4666-9474-3.ch013

[2]	Smartphone: The key to your connected smart home 2015 IEEE 13th International Conference on Industrial Informatics (INDIN), 2015 DOI:10.1109/INDIN.2015.7281871

[3]	The Impact of Bio-Inspired Approaches Toward the Advancement of Face Recognition ACM Computing Surveys, 2015 DOI:10.1145/2791121

[4]	The Impact of Bio-Inspired Approaches Toward the Advancement of Face Recognition ACM Computing Surveys, 2015 DOI:10.1145/2791121

[5]	Rough membership function based illumination classifier for illumination invariant face recognition Applied Soft Computing, 2013 DOI:10.1016/j.asoc.2013.04.012

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