TITLE

Neutralizing lighting non-homogeneity and background size in PCNN image signature for Arabic Sign Language recognition

AUTHOR(S)
Samir Elons, A.; Abull-ela, Magdy; Tolba, M.
PUB. DATE
May 2013
SOURCE
Neural Computing & Applications;May2013 Supplement, Vol. 22, p47
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Many feature generation methods have been developed using pulse-coupled neural network. Most of these methods succeeded to achieve the invariance against object translation, rotation and scaling but could not neutralize the bright background effect and non-uniform light on the quality of the generated features. To overcome the shortcomings, the paper proposes a new method to enhance the features' quality. The 'Continuity Factor' is defined and considered as a weight factor of the current pulse in signature generation process. This factor measures the simultaneous firing strength for connected pixels. The proposed new method is applied and compared to the previous methods. Through Arabic Sign Language recognition experiments, the superiority of the new method is shown.
ACCESSION #
87661130

 

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