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ISCAS OpenIR  > 软件所图书馆  > 会议论文
Title:
segmentation of connected chinese characters based on genetic algorithm
Author: Xianghui Wei ; Shaoping Ma ; Yijiang Jin
Source: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Conference Name: 8th International Conference on Document Analysis and Recognition
Conference Date: August 31,
Issued Date: 2005
Conference Place: Seoul, Korea, Republic of
Keyword: Chinese character recognition system ; character segmentation ; crossover operator ; fitness function ; genetic algorithm ; mutation operator ; segmentation path zone ; character recognition ; genetic algorithms ; image segmentation
Publish Place: United States
Indexed Type: ieee ; ei
ISSN: 15205363
ISBN: 0-7695-2420-6
Department: Inst. of Software, Chinese Acad. of Sci., China
Sponsorship: TC10 (Graph. Recog.) and TC11 (Read. Syst.) of the (IAPR)
English Abstract: 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
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/12588
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Xianghui Wei,Shaoping Ma,Yijiang Jin. segmentation of connected chinese characters based on genetic algorithm[C]. 见:8th International Conference on Document Analysis and Recognition. Seoul, Korea, Republic of. August 31,.
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