Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21620
Title: A simple sign language recognition system using affine moment blur invariant features
Authors: Rajkumar, Palaniappan
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Mohd Shuhanaz, Zanar Azalan
prkmect@gmail.com
Keywords: Sign language recognition
Hand gesture
Affine Moment Blur invariants
Issue Date: 16-Oct-2010
Publisher: Universiti Malaysia Perlis (UniMAP)
Series/Report no.: Proceedings of the International Postgraduate Conference on Engineering (IPCE 2010)
Abstract: Sign language recognition is one of the most promising sub-fields in gesture recognition research. Effective sign language recognition would grant the deaf and hard-of-hearing expanded tools for communicating with both other people and machines. Hand gesture is one of the typical methods used in sign language for non-verbal communication. It is most commonly used by people who have hearing or speech problems to communicate among themselves or with normal people. 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 Affine Moment Blur invariants extracted from the right and left hand gesture images are used as feature vector to develop a network model. The system has been implemented and tested for its validity. Experimental results show that the recognition rate is 97.19%.
Description: International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.
URI: http://dspace.unimap.edu.my/123456789/21620
ISBN: 978-967-5760-03-7
Appears in Collections:Conference Papers
Sazali Yaacob, Prof. Dr.
Paulraj Murugesa Pandiyan, Assoc. Prof. Dr.

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