Sign Language Detection And Recognition Using Deep Learning Techniques

Abstract

Abstract - Humans usually communicate with their voices and languages. We understand one another's ideas because we can listen. Even now, speech recognition allows us to issue orders. What happens if someone is totally deaf and mute? As a result, the vast majority of people who are hard of hearing or deaf communicate via sign language. A lot of effort is being put into the field of automated sign language interpretation in order to guarantee that these people may carry on living their lives without any problems. This topic has seen the development of numerous approaches and algorithms that combine artificial intelligence and image processing techniques. All sign language recognition systems have been taught to accurately recognize and interpret signs. This project takes sequences of images depicting double-handed Indian Sign Language, interprets them with Python, and outputs both text and speech as part of a larger system to bring speech to the wordless.