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A phoneme based sign language recognition system using skin color segmentation

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Main Authors: Paulraj, Murugesa Pandiyan, Prof. Madya, Sazali, Yaacob, Prof. Dr., Mohd Shuhanaz, Zanar Azalan, Palaniappan, Rajkumar
Format: Working Paper
Language:English
Published: Institute of Electrical and Elctronics Engineering (IEEE) 2010
Subjects:
Sign language recognition
Hand gesture
Moment invariants
Neural network
Skin segmentation
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/9889
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spelling my.unimap-98892010-10-19T06:36:32Z A phoneme based sign language recognition system using skin color segmentation Paulraj, Murugesa Pandiyan, Prof. Madya Sazali, Yaacob, Prof. Dr. Mohd Shuhanaz, Zanar Azalan Palaniappan, Rajkumar Sign language recognition Hand gesture Moment invariants Neural network Skin segmentation Link to publisher's homepage at http://ieeexplore.ieee.org/ A sign language is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns. Sign languages are commonly developed for deaf communities, which can include interpreters, friends and families of deaf people as well as people who are deaf or hard of hearing themselves. Developing a sign language recognition system will help the hearing impaired to communicate more fluently with the normal people. This paper presents a simple sign language recognition system that has been developed using skin color segmentation and Artificial Neural Network. The moment invariants features extracted from the right and left hand gesture images are used to develop a network model. The system has been implemented and tested for its validity. Experimental results show that the average recognition rate is 92.85%. 2010-10-19T06:36:32Z 2010-10-19T06:36:32Z 2010-05-21 Working Paper p. 1-5 978-1-4244-7121-8 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5545253 http://hdl.handle.net/123456789/9889 en Proceedings of the 6th International Colloquium on Signal Processing and Its Applications (CSPA) 2010 Institute of Electrical and Elctronics Engineering (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Sign language recognition
Hand gesture
Moment invariants
Neural network
Skin segmentation
spellingShingle Sign language recognition
Hand gesture
Moment invariants
Neural network
Skin segmentation
Paulraj, Murugesa Pandiyan, Prof. Madya
Sazali, Yaacob, Prof. Dr.
Mohd Shuhanaz, Zanar Azalan
Palaniappan, Rajkumar
A phoneme based sign language recognition system using skin color segmentation
description Link to publisher's homepage at http://ieeexplore.ieee.org/
format Working Paper
author Paulraj, Murugesa Pandiyan, Prof. Madya
Sazali, Yaacob, Prof. Dr.
Mohd Shuhanaz, Zanar Azalan
Palaniappan, Rajkumar
author_facet Paulraj, Murugesa Pandiyan, Prof. Madya
Sazali, Yaacob, Prof. Dr.
Mohd Shuhanaz, Zanar Azalan
Palaniappan, Rajkumar
author_sort Paulraj, Murugesa Pandiyan, Prof. Madya
title A phoneme based sign language recognition system using skin color segmentation
title_short A phoneme based sign language recognition system using skin color segmentation
title_full A phoneme based sign language recognition system using skin color segmentation
title_fullStr A phoneme based sign language recognition system using skin color segmentation
title_full_unstemmed A phoneme based sign language recognition system using skin color segmentation
title_sort phoneme based sign language recognition system using skin color segmentation
publisher Institute of Electrical and Elctronics Engineering (IEEE)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/9889
_version_ 1643789671380025344
score 13.214268

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