segmentation of connected chinese characters based on genetic algorithm

ISCAS OpenIR

	segmentation of connected chinese characters based on genetic algorithm
	Xianghui Wei; Shaoping Ma; Yijiang Jin
	2005
会议名称	8th International Conference on Document Analysis and Recognition
会议录名称	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
页码	645-649 Vol. 2
会议日期	August 31,
会议地点	Seoul, Korea, Republic of
收录类别	ieee ; ei
出版地	United States
ISSN	15205363
ISBN	0-7695-2420-6
部门归属	Inst. of Software, Chinese Acad. of Sci., China
摘要	The accuracy of segmenting Chinese character, especially connected Chinese characters, is essential for the performance of a Chinese character recognition system. In this paper, a new approach for segmenting connected Chinese characters based on genetic a
关键词	Chinese Character Recognition System Character Segmentation Crossover Operator Fitness Function Genetic Algorithm Mutation Operator Segmentation Path Zone Character Recognition Genetic Algorithms Image Segmentation
主办者	TC10 (Graph. Recog.) and TC11 (Read. Syst.) of the (IAPR)
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/12588
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Xianghui Wei,Shaoping Ma,Yijiang Jin. segmentation of connected chinese characters based on genetic algorithm[C]. United States,2005:645-649 Vol. 2.