Isolated Character Recognition by Searching Features in Scene Images
| 言語 | 英語 |
|---|---|
| 種類 | 国際会議等の予稿 |
| 著者 | Kazuya NEGISHI，Masakazu IWAMURA，Shinichiro OMACHI，Hirotomo ASO |
| 論文名 | Isolated Character Recognition by Searching Features in Scene Images |
| 論文誌名 | Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005) |
| ページ | pp.140-147 |
| 発表場所 | Seoul, South Korea |
| 査読の有無 | 有 |
| 年月 | 2005年8月 |
| 分野 | パターン認識, 文書画像解析 |
| キー | Negishi2005_CBDAR (id=370) |
要約
Conventional segmentation technique cannot extract an isolated character and a touching character. In this paper, to utilize information of such characters, we propose a novel character recognition method based on extracting feature points and voting. The voting algorithm of the proposed method is similar to the generalized Hough transform. This method enables us to extract and recognize such troublesome characters in relatively shorter computational time. The effectiveness of the proposed method is confirmed by experiments.
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