Recognition of Sign Language using e-CNN

Abstract

Since the majority of people do not understand sign language, there has to be a bridge built so that the community can interact with the visually and verbally impaired. The use of image processing technology as a translation tool is one way that technology that is always improving and working to aid people may be utilized as a solution to build a communication bridge between the community and deaf individuals. Images may be converted into text using image processing. The advancement in digital image processing will make use of the hand key point library, which is a library that will locate the hand in each picture. However, it is well known that image processing needs an algorithm that serves as a classification tool in order to act as a stand-alone data processor. With its ability to recognize a variety of things, the Convolutional Neural Network (CNN) algorithm used in the Deep Learning technique may be used as a classification tool. Additionally, it has been shown in multiple earlier research that mixing several algorithms would boost accuracy.