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Published Paper Details:
Paper Title
Sign Language Recognition Using Python
Authors
Amey Waghchoure, Tejas Sawalkar, Harshad Chavan, Balaji Mundhe
Keywords
Sign Language, Dumb-deaf people, Hand gestures, Recognition system, Python.
Abstract
Sign language has been a solid medium for dumb and deaf people to interact with others. Speech-impaired people and
people with impaired hearing make use of different meaningful hand-gestures and facial expressions to convey their message.
However, many people lack the knowledge and understanding of such hand gestures, which then leads to difficulty in
communicating or exchanging information with one another. Thus, there is a communication gap between them and normal people.
The sign language recognition system acts as a supportive interface between their community and other people out there. This paper
presents a way to convert human sign language or hand gestures to a meaningful text. This is achieved with the help of the Python
programming language.
IJCRT's Publication Details
Unique Identification Number - IJCRT2304546
Paper ID - 234674
Page Number(s) - e476-e480
Pubished in - Volume 11 | Issue 4 | April 2023
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Amey Waghchoure, Tejas Sawalkar, Harshad Chavan, Balaji Mundhe, "Sign Language Recognition Using Python", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.e476-e480, April 2023, Available at :http://www.ijcrt.org/papers/IJCRT2304546.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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