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Indian Sign Language Recognition System in Marathi Language Text

by Prajakta Rokade, Archana Kadam, Dipti Shinde, Shalini Yadav, Neha Sali
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 30
Year of Publication: 2018
Authors: Prajakta Rokade, Archana Kadam, Dipti Shinde, Shalini Yadav, Neha Sali
10.5120/ijca2018918202

Prajakta Rokade, Archana Kadam, Dipti Shinde, Shalini Yadav, Neha Sali . Indian Sign Language Recognition System in Marathi Language Text. International Journal of Computer Applications. 182, 30 ( Dec 2018), 19-22. DOI=10.5120/ijca2018918202

@article{ 10.5120/ijca2018918202,
author = { Prajakta Rokade, Archana Kadam, Dipti Shinde, Shalini Yadav, Neha Sali },
title = { Indian Sign Language Recognition System in Marathi Language Text },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2018 },
volume = { 182 },
number = { 30 },
month = { Dec },
year = { 2018 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number30/30218-2018918202/ },
doi = { 10.5120/ijca2018918202 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:12:54.392354+05:30
%A Prajakta Rokade
%A Archana Kadam
%A Dipti Shinde
%A Shalini Yadav
%A Neha Sali
%T Indian Sign Language Recognition System in Marathi Language Text
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 30
%P 19-22
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sign languages are natural language that used to communicate with deaf and mute people.It is a significant way of communication between normal and deaf and dumb people,which does not require an interpreter. The main objective of this project is to develop a system that helps hearing and speech impaired people to convey their messages to ordinary people. There is much different sign language in the world. But the main focused of system is on Indian Sign Language (ISL) which is on the way of standardization in that the system will concentrated on hand gestures only. Hand gesture is very important part of the body for exchange ideas, messages, thoughts among deaf and dumb people. The proposed system will recognize the Indian hand sign language of words and sentences and translate the signs into Marathi text with images which have been extracted from the input videos. The process will be divided into three parts i.e. preprocessing, feature extraction, classification]. It will initially identify the gestures from Indian Sign language. Finally, the system processes that gesture to recognize character with the help of classification.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Computer and information processing Feature extraction Gesture recognition SVM thinning algorithm

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