UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 6
June-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2306871


Registration ID:
520081

Page Number

i658-i661

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Title

Recognition of Sign Language Gestures Using Neural Networks

Abstract

In Daily life, they face many issues to communicate as they use sign language to convey their message. But Common human cannot understand sign language as it is hard to learn sign language to everyone. To bridge the gap between the communication of deaf and mute people with any common person for this problem, we have proposed model to identify Indian Sign Language into text .Hence there is a need of a system which recognizes the different signs, gestures, and conveys the information to the normal people. It bridges the gap between physically challenged people and normal people.

Key Words

Opencv, Keras , Streamlit , Neural Network .

Cite This Article

"Recognition of Sign Language Gestures Using Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.i658-i661, June-2023, Available :http://www.jetir.org/papers/JETIR2306871.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Recognition of Sign Language Gestures Using Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppi658-i661, June-2023, Available at : http://www.jetir.org/papers/JETIR2306871.pdf

Publication Details

Published Paper ID: JETIR2306871
Registration ID: 520081
Published In: Volume 10 | Issue 6 | Year June-2023
DOI (Digital Object Identifier):
Page No: i658-i661
Country: Sangli, Maharashtra , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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