Paper Title

Sign language translator

Authors

Farsana K A , Aman Rasheed , Mehna Zainab Ikbal , Nila Rajesh , Muhammed Shefeek

Keywords

Sign language recognition, Gesture recognition, ASL, Hearing disability.

Abstract

Both the deaf and the dumb use sign language frequently. The conversations have been more convenient for them. However, sign language may seem strange to those who have not studied it, or sign movements may be mixed up and confused with those who speak a different language. As a result, the goal of this initiative is to serve as a link between sign language users and those who doesn't use sign language. The technology offers two options: 1) to learn sign language, and 2) to translate sign language in real-time. The user can record live video when the system is acting as a translator. The text for the sign will then be shown after the system has recognized the sign gesture. The user can mimic the sign displayed by the system for a certain sign when the system is used to learn. And the system will verify whether what the user has shown is accurate or not. The system is trained, and the photos are classified, using a database of Indian sign language. The area of interest, in this case, the hand, goes through several processes, such as using the OpenCV (module of Python) or CNN (Convolutional Neural Network) processes to recognize the sign.

How To Cite

"Sign language translator", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1857 - 1861, May-2023, Available :https://ijsdr.org/papers/IJSDR2305293.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : 1857 - 1861

Other Publication Details

Paper Reg. ID: IJSDR_206017

Published Paper Id: IJSDR2305293

Downloads: 000347199

Research Area: Engineering

Country: Thodupuzha, Kerala, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2305293

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2305293

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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