摘要
Character normalization is to recover distortions happened in character images. There are two kinds of character distortions: local and global. Local distortion has been discussed in literature, but global distortion that is usually produced by geometric transformation is not formally invited. In this paper, a novel method for solving global character distortion problem is proposed. The global character distortion problem will be regarded as a constrained geometric transformation problem, and an adaptive optimization approach using genetic algorithms is proposed to solve the problem. Experiments on Chinese characters with six kinds of distortions show satisfactory results.
| 原文 | ???core.languages.en_GB??? |
|---|---|
| 頁（從 - 到） | 1670-1675 |
| 頁數 | 6 |
| 期刊 | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| 卷 | 3 |
| 出版狀態 | 已出版 - 1996 |
| 事件 | Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics. Part 3 (of 4) - Beijing, China 持續時間: 14 10月 1996 → 17 10月 1996 |