Paper Contents
Abstract
Sign language is a system of communication using Visual gestures and signs. Hearing impaired people and the deaf and dumb community use sign language as their only means of communication. Understanding sign language is so much difficult for a normal person. Therefore, the minority group has always faced many difficulties in communicating with the General population. In this research paper, we proposed a new deep learning-based approach to detect sign language, which can remove the barrier of communication between normal and deaf People. To detect real-time sign language first we prepared a Dataset that contains 11 sign words and 26 Alphabets. We used these sign words to Train our customized CNN model. We did some preprocessing in the dataset before the training of the CNN model.
Copyright
Copyright © 2023 Praveen kumar B. This is an open access article distributed under the Creative Commons Attribution License.
