A coarse classification scheme on printed Chinese characters by encoding the feature points

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/32048

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32048

Title:	A coarse classification scheme on printed Chinese characters by encoding the feature points
Authors:	Wen,MG;Han,CC;Fan,KC;Tang,DW
Contributors:	資訊工程研究所
Keywords:	RECOGNITION
Date:	2003
Issue Date:	2010-07-06 18:17:24 (UTC+8)
Publisher:	中央大學
Abstract:	In this paper a coarse classification scheme is proposed to speed up the recognition process of machine printed Chinese character. Simple and stable features are extracted by encoding feature points into a codeword of length 16. Geometrically, the codewor
Relation:	JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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