Printed Thai Characters Recognition using 2 Class levels classification and Rough Sets ((放送方式、放送現業、無線・光伝送)2000 Asia-Pacific Symposium on Broadcasting and Communications)

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概要

• 論文の詳細を見る

• This paper proposes the method of using the Rough Sets as a classfier for the recognition of Thai Characters. In our work we divide the classification process into 2 levels, coarse and fine classification. There are 40 coarse groups, some of them not needing to pass through the second level of classification. The accuracy of this system rates as high as 99%

• 一般社団法人映像情報メディア学会の論文
• 2000-12-22

著者

• Kimpan Chom

  Faculty of Engineering, Research Center for Communication and Information Technology King Mongkut's Institute Technology Ladkrabang

• Kimpan Chom

  Faculty of Engineering, Research Center for Communication and Information Technology King Mongkut's Institute of Technology Ladkrabang

• Kasemsiri Watjanapong

  Faculty of Engineering, Research Center for Communication and Information Technology King Mongkut's Institute Technology Ladkrabang

関連論文

• Printed Thai Characters Recognition using 2 Class levels classification and Rough Sets ((放送方式、放送現業、無線・光伝送)2000 Asia-Pacific Symposium on Broadcasting and Communications)
• 3-D Human Face Recognition Using Correlation of Dynamic Contours Plane Area's ((放送方式、放送現業、無線・光伝送)2000 Asia-Pacific Symposium on Broadcasting and Communications)

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