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Real-time Myanmar Sign Language Recognition System using PCA and SVM

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Real-time Myanmar Sign Language Recognition System using PCA and SVM

Myint Tun | Thida Lwin

Myint Tun | Thida Lwin "Real-time Myanmar Sign Language Recognition System using PCA and SVM" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5, August 2019, pp.2361-2366, URL: https://www.ijtsrd.com/papers/ijtsrd26797.pdf

Communication is the process of exchanging information, views and expressions between two or more persons, in both verbal and non-verbal manner. The sign language is a visual language used by the people with the speech and hearing disabilities for communication in their daily conversation activities. Myanmar Sign Language (MSL) is the language of choice for most deaf people in this country. In this research paper, Real-time Myanmar Sign Language Recognition System (RMSLRS) is proposed. The major objective is to accomplish the translation of 30 static sign gestures into Myanmar alphabets. The input video stream is captured by webcam and is inputed to computer vision. The incoming frames are converted into YCbCr color space and skin like region is detected by YCbCr threshold technique. The hand region is also segmented and converted into grayscale image and morphological operation is applied for feature extraction. In order to translate the signs of ASL into the corresponding alphabets, PCA is used for feature extraction and SVM is used for recognition of MSL signs. Experimental results show that the proposed system gives the successful recognition accuracy of static sign gestures of MSL alphabets with 89%.

YCbCr Color Space, Threshold, Computer Vision, Feature Extraction, PCA, Real-time, SVM, Sign Language

Volume-3 | Issue-5, August 2019
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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