Abstract: Communication is the exchanging of messages, thoughts or information, as by talk, visuals, signs, composing, or direct. In need of a hearing aide and unfit to talk people impart among themselves using gesture based communications, anyway they believe that it’s difficult to open themselves to the outside world. This paper proposes a visual based system for Communication among in need of a hearing aide and unfit to talk people with the outside world using computers. This procedure utilizes Indian correspondence by means of gestures hand motions given by the customer as commitment through webcam and is changed over into a text. Not in any manner like the normal procedure for hand signal affirmation which makes usage of gloves or markers or some different devices, this technique does not require any additional hardware and makes the customer pleasant. Profitability is practiced by using a mix of different algorithm together to extract features as opposed to relying upon a single algorithm.
Keywords: Neural Network, Feature Extarction, Computer Vision, Sign Language.
Title: Sign Language Based Hand Gesture Character Recognition Using Neural Network
Author: Sarita Yadav, AP. Mr. Ankit Arora
International Journal of Interdisciplinary Research and Innovations
ISSN 2348-1218 (print), ISSN 2348-1226 (online)
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