Static hand sign recognition using linear projection methods

Gamage, Nuwan and Chow, Kuang Ye and Akmeliawati, Rini (2000) Static hand sign recognition using linear projection methods. In: the 4th International Conference on Autonomous Robots and Agents.

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Abstract

Shape matching is one of the more significant research topics in the fields of Computer Vision, Pattern Recognition and Machine Learning. Successful shape matching algorithms/ methods has a high potential for a wide variety of practical applications. In this paper, we present our effort on using linear projection methods for static hand sign recognition in Malaysian Sign Language. PCA and LPP methods have been used with a database of 240 hand shapes. Keywords-hand signs, shape

Item Type:	Conference or Workshop Item (Full Paper)
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ212 Control 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:	05 Jan 2012 14:07
Last Modified:	10 Jan 2012 16:40
URI:	http://irep.iium.edu.my/id/eprint/14161

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