Sign Language recognition using image-based hand gesture recognition techniques


EOI: 10.11242/viva-tech.01.04.183

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Citation

Prasad Suhas Tandel,Prof. Sonia Dubey, "Sign Language recognition using image-based hand gesture recognition techniques", VIVA-IJRI Volume 1, Issue 4, Article 183, pp. 1-6, 2021. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Touch is one of the most common forms of sign language used in oral communication. It is most commonly used by deaf and dumb people who have difficulty hearing or speaking. Communication between them or ordinary people. Various sign-language programs have been developed by many manufacturers around the world, but they are relatively flexible and affordable for end users. Therefore, this paper has presented software that introduces a type of system that can automatically detect sign language to help deaf and mute people communicate better with other people or ordinary people. Pattern recognition and hand recognition are developing fields of research. Being an integral part of meaningless hand-to-hand communication plays a major role in our daily lives. The handwriting system gives us a new, natural, easy-to-use communication system with a computer that is very common to humans. Considering the similarity of the human condition with four fingers and one thumb, the software aims to introduce a real-time hand recognition system based on the acquisition of some of the structural features such as position, mass centroid, finger position, thumb instead of raised or folded finger.

Keywords

Communication System, hand recognition, pattern, sign language, Touch

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