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Real-time Malaysian sign language translation using colour segmentation and neural network

Akmeliawati, Rini and Melanie, Po-Leen Ooi and Ye, Chow Kuang (2007) Real-time Malaysian sign language translation using colour segmentation and neural network. In: IMTC 2007 - Instrumentation and Measurement Technology Conference Warsaw, Poland, 1-3 May 2007, 1-3 May 2007 , Warsaw, Poland .

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In this paper we present an automatic visual-based sign language translation system. Our proposed automatic sign-language translator provides a real-time English translation of the Malaysia SL. To date, there have been studies on sign language recognition based on visual approach (video camera). However, the emphasis on these works is limited to a small lexicon of sign language or solely focuses on fingerspelling, which takes diferent approaches respectively. In practical sense, fingerspelling is used if a word cannot be expressed via sign language. Our sign language translator can recognise both fingerspelling and sign gestures that involve static and motion signs. Trained neural networks are used to identify the signs to translate into English.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5806/5384 (Proceeding of the Instrumentation and Measurement Technology Conference 2007, ISBN 1-4244-0588-2))
Uncontrolled Keywords: Image processing, sign language, neural network
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof. Dr. Rini Akmeliawati
Date Deposited: 10 Jan 2012 15:45
Last Modified: 23 May 2012 09:30
URI: http://irep.iium.edu.my/id/eprint/5384

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