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Indian Sign Language Interpreter with Android Implementation

by Shanmukha Swamy M N, Chethan M P, Mahantesh Gatwadi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 13
Year of Publication: 2014
Authors: Shanmukha Swamy M N, Chethan M P, Mahantesh Gatwadi
10.5120/17067-7484

Shanmukha Swamy M N, Chethan M P, Mahantesh Gatwadi . Indian Sign Language Interpreter with Android Implementation. International Journal of Computer Applications. 97, 13 ( July 2014), 36-41. DOI=10.5120/17067-7484

@article{ 10.5120/17067-7484,
author = { Shanmukha Swamy M N, Chethan M P, Mahantesh Gatwadi },
title = { Indian Sign Language Interpreter with Android Implementation },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 13 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 36-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number13/17067-7484/ },
doi = { 10.5120/17067-7484 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:24:01.255564+05:30
%A Shanmukha Swamy M N
%A Chethan M P
%A Mahantesh Gatwadi
%T Indian Sign Language Interpreter with Android Implementation
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 13
%P 36-41
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sign language is used as a communication medium among deaf and dumb people to convey the message with each other. A person who can talk and hear properly (normal person) cannot communicate with deaf and dumb person unless he/she is familiar with sign language. Same case is applicable when a deaf and dumb person wants to communicate with a normal person or blind person. In order to bridge the gap in communication among deaf and dumb community and normal community, lot of research work has been carried out to automate the process of sign language interpretation with the help of image processing and pattern recognition techniques. This paper proposes optimized approaches of implementing the famous Viola Jones algorithm with LBP features for hand gesture recognition which will recognize Indian sign language gestures in a real time environment. The performance analysis of the proposed approaches is presented along with the experimental results. An optimized algorithm has been implemented in the form of an android application and tested with real time data.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Indian Sign Language (ISL). American Sign Language (ASL) Local Binary Pattern (LBP) AdaBoost SIFT SURF Viola-Jones.

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