文献の詳細
| 言語 | 英語 |
|---|---|
| 著者 | Tsuyoshi Kato, Shin'ichiro Omachi, and Hirotomo Aso |
| 論文名 | Precise Hand-Printed Character Recognition Using Elastic Models via Nonlinear Transformation |
| 論文誌名 | Proceedings 15th International Conference on Pattern Recognition (ICPR2000) |
| Vol. | 2 |
| ページ | pp.364-367 |
| 年月 | 2000年9月 |
| 要約 | Distorted character recognition is a difficult but inevitable problem in hand-printed character recognition. In this paper, we propose a character recognition method using elastic models for recognizing cursive characters with intricate structure. The models are fitted to unknown input patterns by applying the EM algorithm to minimize a measure of fittness. To avoid falling into local minima, multiresolutional approach is introduced. Moreover, nonlinear transformation is adopted to realize more flexible matching. Experiments performed on Japanese characters show effectiveness of the proposed method. |
@Article {Kato2000,
author = {Tsuyoshi Kato and Shin'ichiro Omachi and Hirotomo Aso},
title = {Precise Hand-Printed Character Recognition Using Elastic Models via Nonlinear Transformation},
journal = {Proceedings 15th International Conference on Pattern Recognition (ICPR2000)},
year = {2000},
month = sep,
volume = {2},
pages = {364--367}
}