Peripheral and global features for use in coarse classification of Chinese characters

NCU Institutional Repository > 資訊電機學院 > 資訊工程研究所 > 期刊論文 > Item 987654321/29203

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/29203

题名:	Peripheral and global features for use in coarse classification of Chinese characters
作者:	Chou,KS;Fan,KC;Fan,TI
贡献者:	資訊工程研究所
关键词:	RECOGNITION
日期:	1997
上传时间:	2010-06-29 20:16:16 (UTC+8)
出版者:	中央大學
摘要:	In this paper, a simple and effective approach to the coarse classification of handwritten Chinese characters is proposed. In our approach, a Chinese character is characterized by string representation using periphery and global feature vectors. The peripheral features include four strings to represent the structure of segments in top, bottom, left, and right directions. The global features include the number of horizontal segments in the top direction and bottom direction, and the number of stroke segments in a character. In addition, a scoring-based coarse classification scheme is devised in choosing the proper candidate characters. Twenty sets of Chinese characters (5401 characters/set) are tested. The number of candidate characters is reduced from 5401 to about 80 with the error rate less than 1.2% in average. Experimental results reveal the feasibility of the proposed approach in classifying Chinese characters. (C) 1997 Pattern Recognition Society.
關聯:	PATTERN RECOGNITION
显示于类别:	[資訊工程研究所] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	534	检视/开启

在NCUIR中所有的数据项都受到原著作权保护.

社群 sharing