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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| Format: | Conference or Workshop Item |
| Language: | English |
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2000
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| Online Access: | http://irep.iium.edu.my/14161/ http://irep.iium.edu.my/14161/ http://irep.iium.edu.my/14161/ http://irep.iium.edu.my/14161/1/icara2009.pdf |
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iium-14161 |
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eprints |
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iium-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 PeerReviewed 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 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| 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/ http://irep.iium.edu.my/14161/ http://irep.iium.edu.my/14161/ http://irep.iium.edu.my/14161/1/icara2009.pdf |
| first_indexed |
2023-09-18T20:23:20Z |
| last_indexed |
2023-09-18T20:23:20Z |
| _version_ |
1777408252483469312 |