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Static hand sign recognition using linear projection methods

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 lin...

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Main Authors: Gamage, Nuwan, Chow, Kuang Ye, Akmeliawati, Rini
Format: Conference or Workshop Item
Language:English
Published: 2000
Subjects:
TJ212 Control engineering
Online Access:http://irep.iium.edu.my/14161/1/icara2009.pdf
http://irep.iium.edu.my/14161/
http://dx.doi.org/10.1109/ICARA.2000.4803982
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spelling my.iium.irep.141612012-01-10T08:40:39Z http://irep.iium.edu.my/14161/ Static hand sign recognition using linear projection methods Gamage, Nuwan Chow, Kuang Ye Akmeliawati, Rini TJ212 Control engineering 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 2000 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/14161/1/icara2009.pdf 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. http://dx.doi.org/10.1109/ICARA.2000.4803982 doi:10.1109/ICARA.2000.4803982
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TJ212 Control engineering
spellingShingle TJ212 Control engineering
Gamage, Nuwan
Chow, Kuang Ye
Akmeliawati, Rini
Static hand sign recognition using linear projection methods
description 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
format Conference or Workshop Item
author Gamage, Nuwan
Chow, Kuang Ye
Akmeliawati, Rini
author_facet Gamage, Nuwan
Chow, Kuang Ye
Akmeliawati, Rini
author_sort Gamage, Nuwan
title Static hand sign recognition using linear projection methods
title_short Static hand sign recognition using linear projection methods
title_full Static hand sign recognition using linear projection methods
title_fullStr Static hand sign recognition using linear projection methods
title_full_unstemmed Static hand sign recognition using linear projection methods
title_sort static hand sign recognition using linear projection methods
publishDate 2000
url http://irep.iium.edu.my/14161/1/icara2009.pdf
http://irep.iium.edu.my/14161/
http://dx.doi.org/10.1109/ICARA.2000.4803982
_version_ 1643606858539204608
score 13.160551

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