UGC Approved Journal no 63975(19)

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

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2206979


Registration ID:
405192

Page Number

j615-j619

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Title

Recognition of sign language using machine learning

Abstract

When persons who are deaf or dumb are unable to communicate with other people in regular ways, sign language emerges. New algorithms are being developed by researchers to make communication easier for the deaf and dumb people. K-Nearest Neighbor (KNN), Convolution Neural Network (CNN), Recurrent Neural Network (RNN), Principle Component Analysis (PCA), and Histogram of Oriented Gradients (HOG) are a few of the current approaches. In this paper, a technique for hand gesture recognition using the open-source MediaPipe framework and SVM algorithm is provided. 80% accuracy is attained.

Key Words

Machine Learning (ML), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), MediaPipe, OpenCV

Cite This Article

"Recognition of sign language using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.j615-j619, June-2022, Available :http://www.jetir.org/papers/JETIR2206979.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 using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppj615-j619, June-2022, Available at : http://www.jetir.org/papers/JETIR2206979.pdf

Publication Details

Published Paper ID: JETIR2206979
Registration ID: 405192
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: j615-j619
Country: Chitradurga, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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