Authors : Bhagyashri Pagar; Rutuja Shelar; Soumya Sheelavant; Avinash A. Utikar
Volume/Issue : Volume 8 - 2023, Issue 3 - March
Google Scholar : https://bit.ly/3TmGbDi
Scribd : https://bit.ly/3yPxUP0
DOI : https://doi.org/10.5281/zenodo.7747476
A sign language is a way of communicating by
using the hands instead of spoken words. Sign language is
used by deaf and dump people to communicate with other
individuals. People who are speech-impaired and also
some people who have autism spectrum disorder face
problem while communicating with normal as they can
converse using only sign language. So, it becomes difficult
for other individuals to understand this sign language.
Each country usually has its own native sign language.
The Indian Sign Language recognition application
proposed here aims at solving the communication
problem between people. System will capture the different
hand gestures through camera of mobile phone. The signs
used in sign language are identified by the features
extracted from the hand gestures. Then, processing of the
image takes place by using convolution neural network
algorithm. After all the processing we finally get the
output as a text which can be easily understood by all
people. We are keeping purpose of developing system that
will make communication between Deaf and Dumb
person and normal person easy and convenient.
Keywords : Sign Language Recognition Application, Convolution Neural Network, Deep Learning.