Open AccessSign Language to Text Conversion Using Deep Learning Techniques
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/291042021
Subject(s) - sign language , gesture , alphabet , spelling , sign (mathematics) , computer science , symbol (formal) , american sign language , linguistics , artificial intelligence , natural language processing , speech recognition , human–computer interaction , mathematics , programming language , mathematical analysis , philosophy
Sign language is one of the oldest and most people used to communicate with people like Deaf and Dumb. Presently most people don’t know sign language and it’s become very tough to communicate with deaf people to clear those barriers. They created a real time live fingers spelling based application using Deep learning techniques. Gesture is the Symbol and physical emotion to the Deaf people. In this Method first hand is passed through the Filter and based on fingers it will predict the Alphabet and Display. Here I was using the VGG16 model which gives 99% accuracy for the 26 letters of the Alphabets.