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Reseach Article

Indian Sign Language Character Recognition using Neural Networks

Published on May 2013 by Padmavathi. S, Saipreethy. M. S, Valliammai. V
Recent Trends in Pattern Recognition and Image Analysis
Foundation of Computer Science USA
RTPRIA - Number 1
May 2013
Authors: Padmavathi. S, Saipreethy. M. S, Valliammai. V
38e44695-acff-4e75-a50c-c421cdbdef0a

Padmavathi. S, Saipreethy. M. S, Valliammai. V . Indian Sign Language Character Recognition using Neural Networks. Recent Trends in Pattern Recognition and Image Analysis. RTPRIA, 1 (May 2013), 40-45.

@article{
author = { Padmavathi. S, Saipreethy. M. S, Valliammai. V },
title = { Indian Sign Language Character Recognition using Neural Networks },
journal = { Recent Trends in Pattern Recognition and Image Analysis },
issue_date = { May 2013 },
volume = { RTPRIA },
number = { 1 },
month = { May },
year = { 2013 },
issn = 0975-8887,
pages = { 40-45 },
numpages = 6,
url = { /specialissues/rtpria/number1/11801-1007/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Recent Trends in Pattern Recognition and Image Analysis
%A Padmavathi. S
%A Saipreethy. M. S
%A Valliammai. V
%T Indian Sign Language Character Recognition using Neural Networks
%J Recent Trends in Pattern Recognition and Image Analysis
%@ 0975-8887
%V RTPRIA
%N 1
%P 40-45
%D 2013
%I International Journal of Computer Applications
Abstract

Deaf and dumb people communicate among themselves using sign languages, but they find it difficult to expose themselves to the outside world. This paper proposes a method to convert the Indian Sign Language (ISL) hand gestures into appropriate text message. In this paper the hand gestures corresponding to ISL English alphabets are captured through a webcam. In the captured frames the hand is segmented and the neural network is used to recognize the alphabet. The features such as angle made between fingers, number of fingers that are fully opened, fully closed or semi closed and identification of each finger are used as input to the neural network. Experimentation done for single hand alphabets and the results are summarized.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Indian Sign Language Recognition Hand Gesture Recognition Neural Networks Activation Function