Presentation | 2005-03-18 Improvements of On-line Character Recognition Based on Eigen-Deformations Hiroto MITOMA, Seiichi UCHIDA, Hiroaki SAKOE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The authors have investigated into online character recognition technique with eigen-deformations, which express frequent deformations of each chategory. To reduce overfitting, this technique evaluates a divergence between eigen-deformations and a fitting result obtained by DP matching between an input pattern and a reference pattern. In this report, which is a further study of the previous investigation, we describe the improvements or investigation mainly on (i) how to evaluate thedeformations, (ii) how to express the deformations. The results of recognition experiment on UNIPEN database showed the usefulness of the proposed technique. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | online character recognition / eigen-deformations / DP matching / QDF / UNIPEN database |
Paper # | TL2004-71,PRMU2004-239 |
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Committee | TL |
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Conference Date | 2005/3/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Thought and Language (TL) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Improvements of On-line Character Recognition Based on Eigen-Deformations |
Sub Title (in English) | |
Keyword(1) | online character recognition |
Keyword(2) | eigen-deformations |
Keyword(3) | DP matching |
Keyword(4) | QDF |
Keyword(5) | UNIPEN database |
1st Author's Name | Hiroto MITOMA |
1st Author's Affiliation | School of Engineering, Kyushu University() |
2nd Author's Name | Seiichi UCHIDA |
2nd Author's Affiliation | Graduate School of Information Science and Electrical Engineering, Kyushu University |
3rd Author's Name | Hiroaki SAKOE |
3rd Author's Affiliation | Graduate School of Information Science and Electrical Engineering, Kyushu University |
Date | 2005-03-18 |
Paper # | TL2004-71,PRMU2004-239 |
Volume (vol) | vol.104 |
Number (no) | 740 |
Page | pp.pp.- |
#Pages | 6 |
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