Optimized classification based on Particle Swarm Optimization algorithm for Tamil Sign Language digital images
Marimuthu Krishnaveni, P. Subashini, T T Dhivyaprabha, Arumugasamy Sathiya Priya · 2016
Sign is the way of communication when there is no appropriate verbal communication for deaf and dump persons. Sign Language Recognition System (SLRS) acts as a contrivance to perform the conversion of sign language into text or voice. Many classification techniques and algorithms with a variety of methods already exist in SLRS. But still only a few considerable contributions are there in Tamil Sign Language Recognition. The objective of this paper is to extract the features from the pre-processed image and propose an optimization based classifier to improve the classification accuracy in Tamil Sign Language images. The experimental result of the proposed work demonstrated that BPN-PSO outperforms existing classification techniques.