Conversion of Sign Language to Text for Deaf and Dumb

Chitrapu Aruna Sri , Chalagalla Sravya , Cheruku Satyavani , Chinnam Geethika , Dr.B.Esther Sunanda

Sign Language is one of the oldest and most natural form of language for communication, but since most people do not know sign language and interpreters are very difficult to come by come by, we have come up with a real time method using neural networks for fingerspelling based American sign Language. In our method, the hand is first passed through a filter and after the filter is applied, the hand is passed through a classifier which predicts the class of the hand gestures. Our method provides 95.7% accuracy for the 26 letters of the alphabet.

Published Paper   E-Certificate

"Conversion of Sign Language to Text for Deaf and Dumb", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.b515-b520, March-2023, Available :https://ijnrd.org/papers/IJNRD2303161.pdf

Volume 8 Issue 3, March-2023

Pages : b515-b520

Paper Reg. ID: IJNRD_188680

Published Paper Id: IJNRD2303161

Downloads: 000118854

Research Area: Computer Engineering 

Country: Visakhapatnam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303161

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303161

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition