Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1670-1675 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 3 |
| State | Published - 1996 |
| Event | Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics. Part 3 (of 4) - Beijing, China Duration: 14 Oct 1996 → 17 Oct 1996 |