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Novel Approach to Use HU Moments with Image Processing Techniques for Real Time Sign Language Communication
Matheesha Fernando, Janaka Indrajith Wijjayanayake
Pages - 335 - 345     |    Revised - 30-11-2015     |    Published - 31-12-2015
Volume - 9   Issue - 6    |    Publication Date - November / December 2015  Table of Contents
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KEYWORDS
Sign Language Recognition, Height to Width Ratio, Hu-moments, YCrCb Color Space.
ABSTRACT
Sign language is the fundamental communication method among people who suffer from speech and hearing defects. The rest of the world doesn’t have a clear idea of sign language. “Sign Language Communicator” (SLC) is designed to solve the language barrier between the sign language users and the rest of the world. The main objective of this research is to provide a low cost affordable method of sign language interpretation. This system will also be very useful to the sign language learners as they can practice the sign language. During the research available human computer interaction techniques in posture recognition was tested and evaluated. A series of image processing techniques with Hu-moment classification was identified as the best approach. To improve the accuracy of the system, a new approach; height to width ratio filtration was implemented along with Hu-moments. System is able to recognize selected Sign Language signs with the accuracy of 84% without a controlled background with small light adjustments.
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Dr. Matheesha Fernando
Department of Industrial Management, University of Kelaniya Sri Lanka - Sri Lanka
Dr. Janaka Indrajith Wijjayanayake
University of Kelaniya - Sri Lanka