UGC Approved Journal no 63975(19)

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

Volume 7 Issue 9
September-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2009160


Registration ID:
300963

Page Number

1164-1170

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Title

American Sign Language Recognition Using CNN Algorithm

Abstract

According to W.H.O (world Health Organization) 446 million people i.e. 5% of word population facing disabling hearing loss. These people can only communicate through sign language. The drawback of this way of communication is that most of the normal people cannot understand sign language. This makes hard to communicate for both. With the help of our project we are trying to build a system which act as interpreter for both types of these people. With the help of AI and Deep learning we can build a model that can understand sign language and convert it into normal language. Our project aims to bridge the gap between the speech and hearing impaired people and the normal people.

Key Words

Machine learning, Computer vision, Sign language, Convolution Neural Networks (CNN), Sign recognition.

Cite This Article

"American Sign Language Recognition Using CNN Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.1164-1170, September-2020, Available :http://www.jetir.org/papers/JETIR2009160.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

"American Sign Language Recognition Using CNN Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp1164-1170, September-2020, Available at : http://www.jetir.org/papers/JETIR2009160.pdf

Publication Details

Published Paper ID: JETIR2009160
Registration ID: 300963
Published In: Volume 7 | Issue 9 | Year September-2020
DOI (Digital Object Identifier):
Page No: 1164-1170
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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