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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 7, JULY 2022

Implementation of Kannada Sign Language Recognition using Machine Learning

Srijith S Bhat, Omkar K Hegde, Ganesh N Bhat, Sanjeevini S M, Ashwini D S

DOI: 10.17148/IJARCCE.2022.11724

Abstract: Technology is going very fast day by day; digital recognitions are getting more popular and providing more scope to perform research in ML (Machine Learning) and AI (Artificial Intelligence). Recognition of sign languages has been done by many researchers. Few researchers also tried recognizing Kannada sign languages with static images. Still real time Kannada sign language recognition is one of the least touched techniques. This project is trying to use Machine Learning techniques to do this job of Kannada sign language recognition with reasonable accuracy.

Keywords: ML, Python, Kannada, Sign Language

How to Cite:

[1] Srijith S Bhat, Omkar K Hegde, Ganesh N Bhat, Sanjeevini S M, Ashwini D S, “Implementation of Kannada Sign Language Recognition using Machine Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11724