Real Time Sign Language Processing System
Dibyabiva Seth, Anindita Ghosh, Ariruna Dasgupta, Asoke Nath · Communications in computer and information science · 2016
A communication gap has always existed between Sign Languages and other Natural Languages. This paper aims to build a real-time autonomous system that can help bridge this communication gap. The present system captures the gestures using a webcam and recognizes the gesture being shown, mapping it to the corresponding English Letter, Numeric Digit and Special Characters. The authors have proposed American Sign Language with some minor modifications. The present form of ASL can be used to recognize all alphabets (A–Z), all numerals (0–9), Backspace, Blank Space. Some Special Characters have been included as well. The present system is built to recognize the finger-spelling component of the American Sign Language (ASL), and can be extended to recognize other sign languages as well.