Home / Papers / Sign Language Recognition

Sign Language Recognition

88 Citations2022
Nikhil Kulkarni, Shivali Mate, Atharva Kulkarni
International Journal of Scientific Research in Computer Science, Engineering and Information Technology

An application to mitigate the issue between the communication of differently abled and others and reduce the dependencies on third parties like translators using a machine learning model.

Abstract

There seems to be an issue between the communication of differently abled and others. That is why we have decided to make an application to mitigate this issue and reduce the dependencies on third parties like translators. We have studied different approaches taken and discussed them. Recognition of hand signs is a popular topic since the 90s and various findings have been uncovered in the following years. We have written about popular methods for this. For this application to work we have to weigh in feature extraction, object detection, and predictions using a machine learning model.