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A Comprehensive Review on Indian Sign Language Recognition System using Vision based Approaches

by Poornima B.V., Srinath S.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 43
Year of Publication: 2023
Authors: Poornima B.V., Srinath S.
10.5120/ijca2023922548

Poornima B.V., Srinath S. . A Comprehensive Review on Indian Sign Language Recognition System using Vision based Approaches. International Journal of Computer Applications. 184, 43 ( Jan 2023), 52-58. DOI=10.5120/ijca2023922548

@article{ 10.5120/ijca2023922548,
author = { Poornima B.V., Srinath S. },
title = { A Comprehensive Review on Indian Sign Language Recognition System using Vision based Approaches },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2023 },
volume = { 184 },
number = { 43 },
month = { Jan },
year = { 2023 },
issn = { 0975-8887 },
pages = { 52-58 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number43/32601-2023922548/ },
doi = { 10.5120/ijca2023922548 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:23:56.713083+05:30
%A Poornima B.V.
%A Srinath S.
%T A Comprehensive Review on Indian Sign Language Recognition System using Vision based Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 43
%P 52-58
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A sign language recognition system is a method in which a computer automatically recognizes the sign language motions and converts them into machine or human readable text or speech. Many researchers have proposed different algorithms for identifying the static and dynamic Indian sign language (ISL) gestures. This review presents a qualitative and a comprehensive study of the different approaches like digital image processing, machine learning and deep learning methods used for recognition of gestures. Research publications from the past 10 years have been collected from electronic databases like scopus, google scholar and researchgate for the review and the details of the publicly available dataset repositories are highlighted. This review helps the researchers, academicians and the technology oriented people to understand the importance of different technologies used to recognize the gestures automatically which in turn benefits the speech and hearing impaired people. The challenges present in ISL recognition, the short comings of the existing systems and the future research directions in order to improve the recognition rate is explained in this paper.

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Index Terms

Computer Science
Information Sciences

Keywords

Sign language recognition (SLR) Gesture recognition system Indian sign language (ISL).

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