A phoneme based sign language recognition system using skin color segmentation
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Institute of Electrical and Elctronics Engineering (IEEE)
2010
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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) |
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Universiti Malaysia Perlis |
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| language |
English |
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Sign language recognition Hand gesture Moment invariants Neural network Skin segmentation |
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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 |