Presentation | 2004/2/13 Quantitative Analysis of Mathematical Documents Seiichi UCHIDA, Akihiro NOMURA, Masakazu SUZUKI, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Mathematical documents are analyzed from several viewpoints to develop practical OCR for mathematical and other scientific documents. Specifically, the following four viewpoints are quantified using a large-scale database of mathematical documents, which contains manually ground-truthed 670,000 characters: (i) the number of character categories, (ii) abnormal characters (e.g., touching characters), (iii) character size variation, and (iv) the complexity of math expressions. The result of those analyses clarifies the difficulties on recognizing math documents and then suggests the promising directions to overcome them. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | mathematical documents / OCR / database / quantitative analysis |
Paper # | TL2003-48,PRMU2003-234 |
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Committee | PRMU |
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Conference Date | 2004/2/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Quantitative Analysis of Mathematical Documents |
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Keyword(1) | mathematical documents |
Keyword(2) | OCR |
Keyword(3) | database |
Keyword(4) | quantitative analysis |
1st Author's Name | Seiichi UCHIDA |
1st Author's Affiliation | Faculty of Information Science and Electrical Engineering, Kyushu University() |
2nd Author's Name | Akihiro NOMURA |
2nd Author's Affiliation | Graduate School of Mathematics, Kyushu University |
3rd Author's Name | Masakazu SUZUKI |
3rd Author's Affiliation | Faculty of Mathematics, Kyushu University |
Date | 2004/2/13 |
Paper # | TL2003-48,PRMU2003-234 |
Volume (vol) | vol.103 |
Number (no) | 659 |
Page | pp.pp.- |
#Pages | 6 |
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