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A study of symbol segmentation method for handwritten mathematical formula recognition using mathematical structure information
http://hdl.handle.net/2237/6870
http://hdl.handle.net/2237/68703a850ef0-7b8f-4ddf-8afa-0fae7febb2e2
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
studyofsymbolsegmentation.pdf (478.0 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2006-08-28 | |||||
| タイトル | ||||||
| タイトル | A study of symbol segmentation method for handwritten mathematical formula recognition using mathematical structure information | |||||
| 言語 | en | |||||
| 著者 |
Toyozumi, Kenichi
× Toyozumi, Kenichi× Yamada, Naoya× Kitasaka, Takayuki× Mori, Kensaku× Suenaga, Yasuhito× Mase, Kenji× Takahashi, Tomoichi |
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| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 権利 | ||||||
| 言語 | en | |||||
| 権利情報 | Copyright © 2004 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Symbol segmentation is very important in handwritten mathematical formula recognition, since it is the very first portion of the recognition, since it is the very first portion of the recognition process. This paper proposes a new symbol segmentation method using mathematical structure information. The base technique of symbol segmentation employed in theexisting methods is dynamic programming which optimizes the overall results of individual symbol recognition. The new method we propose here improves symbol recognition performance by using correction values of symbol recognition. These correction values sre calculated from the relations among handwritten stroke positions and mathematical structure. There is no report which takes account of mathematical structure information for synbol segmentation in the handwritten mathematical formula recognition. Our experiments have proven that the recognition rate of symbol segmentation by existing methods is between 90.2% and 93.3% while our proposed method gives correct recognition rate of 97.1%. | |||||
| 言語 | en | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 出版タイプ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1109/ICPR.2004.1334327 | |||||
| 書誌情報 |
en : Proceedings of the 17th International Conference on Pattern Recognition 巻 2, p. 630-633, 発行日 2004-08 |
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| フォーマット | ||||||
| 値 | application/pdf | |||||
| 著者版フラグ | ||||||
| 値 | publisher | |||||
| URI | ||||||
| 識別子 | http://hdl.handle.net/2237/6870 | |||||
| 識別子タイプ | HDL | |||||
