Optimized classification based on Particle Swarm Optimization algorithm for Tamil Sign Language digital images

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.