Sign Language Detection Using Machine Learning

N. Venkatesh Naik, K. Salma Khatoon, Akkala Venkata Sai Krishna, Yerasi Sudeep Reddy, Yerraguntla Bhanu Prakash, Nallabothula Sai Pavan

2025

Abstract

There is still a challenge with communication gap between hearing impaired and general population. However, the effective recognition of sign language from machines has long been waiting for a long -term research problem. Current methods use stable image processing and manually designed features, which do not guarantee good efficiency. In this study, an innovative approach is proposed to detect the language of intensive learning, which uses the traditional neural network (CNN), the recurrent nervous network (RNN) and a transformer -based architecture. On top of it, the model improves our gesture recognition by using automatic convenience and optimization of classification accuracy. Background subtraction, hand drawing and keyboard detection entrance are some of the advanced preproid techniques used to improve quality. We conduct experimental evaluation showing better performance than traditional approaches and suggests that this system can be distributed in real -world applications. The contribution of this research is in accessible technology for hearing impaired people.

Paper Citation

in Harvard Style

Naik N., Khatoon K., Krishna A., Reddy Y., Prakash Y. and Pavan N. (2025). Sign Language Detection Using Machine Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 145-149. DOI: 10.5220/0013879100004919

in Bibtex Style

@conference{icrdicct`2525,
author={N. Naik and K. Khatoon and Akkala Krishna and Yerasi Reddy and Yerraguntla Prakash and Nallabothula Pavan},
title={Sign Language Detection Using Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={145-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013879100004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Sign Language Detection Using Machine Learning
SN - 978-989-758-777-1
AU - Naik N.
AU - Khatoon K.
AU - Krishna A.
AU - Reddy Y.
AU - Prakash Y.
AU - Pavan N.
PY - 2025
SP - 145
EP - 149
DO - 10.5220/0013879100004919
PB - SciTePress