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| segmentation of connected chinese characters based on genetic algorithm | |
| Xianghui Wei; Shaoping Ma; Yijiang Jin | |
| 2005 | |
| Conference Name | 8th International Conference on Document Analysis and Recognition |
| Source | Proceedings of the International Conference on Document Analysis and Recognition, ICDAR |
| Pages | 645-649 Vol. 2 |
| Conference Date | August 31, |
| Conference Place | Seoul, Korea, Republic of |
| Indexed Type | ieee ; ei |
| Publish Place | United States |
| ISSN | 15205363 |
| ISBN | 0-7695-2420-6 |
| Department | Inst. of Software, Chinese Acad. of Sci., China |
| 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 |
| Keyword | Chinese Character Recognition System Character Segmentation Crossover Operator Fitness Function Genetic Algorithm Mutation Operator Segmentation Path Zone Character Recognition Genetic Algorithms Image Segmentation |
| Sponsorship | TC10 (Graph. Recog.) and TC11 (Read. Syst.) of the (IAPR) |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/12588 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 01575624.pdf（274KB） | 开放获取 | -- | Application Full Text | |||
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