Real Time Hand Gesture Recognition Using Different Algorithm Based On American Sign Language

Abstract

Sign Language research field based on real time hand gestures called sign samples and recognition unit of computer. The sign language is the only way to be used for deaf and dumb community communication platform. In this system, we are working on the American Sign Language(ASL) dataset (A-Z) alphabet recognition followed by our word recognition dataset of Indian Sign Language (ISL). Sign data samples to be making our system more accurate with help of Convolutional Neural Network (CNN). Today, much research has been going on the field of sign language recognition but existing study failed to develop trust full communication interpreter. The purpose of this system is to represent a real time two way communication interpreter based on Indian Sign Language (ISL) with higher accuracy. Indian Sign Language (ISL) used by Deaf people community in India, does have acceptable, meaningful essential and structural properties.