| Presentation | 2007-03-16 Influence of the Number of Candidates in Character Recognition Error Correction for Mathematical Formulae with Higher Level Information Yusuke TAKIGUCHI, Minoru OKADA, Yasuji MIYAKE, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The authors have already proposed a method for correcting character recognition errors for mathematical formulae. The method uses two kinds of higher-level information such as co-occurrence probabilities between adjacent symbols in a mathematical formula and mathematical keywords using mathematical function names etc., and the method does not restrict the symbols that can be used in the character recognition and error correction. In this paper we evaluate correction results by the method individually and globally, and finally describe possible future directions for work motivated by the present results. Especially, we focus on failure correction results and discuss the factors which are assumed as triggers of failure correction results. From the discussion, we indicate needs to classify symbols using mathematical semantics, to consider the ratio of sizes between an adjacent symbol pair and to discuss influence about the weight defined by co-occurrence probabilities. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | mathematical formulae recognition / higher level information / character recognition error correction / cost tree / co-occurrence probability |
| Paper # | PRMU2006-256 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2007/3/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | Influence of the Number of Candidates in Character Recognition Error Correction for Mathematical Formulae with Higher Level Information |
| Sub Title (in English) | |
| Keyword(1) | mathematical formulae recognition |
| Keyword(2) | higher level information |
| Keyword(3) | character recognition error correction |
| Keyword(4) | cost tree |
| Keyword(5) | co-occurrence probability |
| 1st Author's Name | Yusuke TAKIGUCHI |
| 1st Author's Affiliation | Graduate School of Information, Production and Systems, Waseda University() |
| 2nd Author's Name | Minoru OKADA |
| 2nd Author's Affiliation | Graduate School of Information, Production and Systems, Waseda University |
| 3rd Author's Name | Yasuji MIYAKE |
| 3rd Author's Affiliation | College of Engineering, Chubu University |
| Date | 2007-03-16 |
| Paper # | PRMU2006-256 |
| Volume (vol) | vol.106 |
| Number (no) | 606 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |