Gesture recognition system using 2D-invariant moment feature and Elman neural network
by M.P. Paulraj; C.R. Hema; Sazali Bin Yaacob; Mohd Shuhanaz Zanar Azalan; Rajkumar Palaniappan
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 3, No. 4, 2013

Abstract: This paper presents a simple sign language recognition system that has been developed using skin colour segmentation and Elman neural network. A simple segmentation process is carried out to separate the right and left hand. The 2D-invariant moments of the right and left hand segmented image are obtained as features. Using the 2D-invariant moment features, an Elman neural network model was developed. The system has been implemented and tested for its validity. Experimental results show that the system has a recognition rate of 90.63%.

Online publication date: Sat, 12-Jul-2014

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