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Research Article

JCR. 2020; 7(17): 1205-1211


SIGN LANGUAGE RECOGNITION USING HAND GESTURES AND DEEP LEARNING

Usha S, M Akshay Kumar, Nikhil K, Pooja R, Pramod V H.

Abstract
Communication is the key factor of living in this world. A small population of the human fraternity is either dumb or deaf, for
this community it becomes difficult to communicate with rest of the world. Here the system uses image processing and
computer vision for gesture recognition. Recognition of expressions helps computers to understand human behavior and also
serves as a computer-human translator. It could provide the human potential to communicate with the machines spontaneously
without any electronic system physical contact. Sign-language gestures are done by the dumb & deaf community. This group
uses sign language to communicate if audio is impossible or it is difficult to type and write, but there is a choice for vision.
With the use of a sign language, distinct from a spoken word, the Deaf communicate worldwide in their daily visual language,
using a script, face and body motion device as a mean of communicate.

Key words: Sign language, Hand gestures, recognition, visual language, deeplearning



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