OCR Fonts Revisited for Camera-Based Character Recognition
| 言語 | 英語 |
|---|---|
| 種類 | 国際会議等の予稿 |
| 著者 | Seiichi Uchida，Masakazu Iwamura，Shinichiro Omachi，Koichi Kise |
| 論文名 | OCR Fonts Revisited for Camera-Based Character Recognition |
| 論文誌名 | Proc. of the 18th International Conference of Pattern Recognition (ICPR2006) |
| Vol. | 2 |
| ページ | pp.1134-1137 |
| 発表場所 | Hong Kong |
| 査読の有無 | 有 |
| 年月 | 2006年8月 |
| 分野 | パターン認識 |
| DOI | 10.1109/ICPR.2006.891 |
| キー | Uchida2006_ICPR (id=840) |
要約
In order to realize accurate camera-based character recognition, machine-readable class information is embedded into each character image. Specifically, each character image is printed with a pattern which comprises five stripes and the cross ratio derived from the pattern represents class information. Since the cross ratio is a projective invariant, the class information is extracted correctly regardless of camera angle. The results of simulation experiments showed that recognition rates over 99% were obtained by the extracted cross ratio under heavy projective distortions.
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