Presentation | 2006-02-24 On-line Character Recognition based on Subspace Method and DP Matching 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 quadratic discriminant function of a difference vector, which expresses a global feature of a character. This technique successfully reduced the misrecognitions due to overfitting. On the other hand, this technique also caused the misrecognitions due to insufficient of training samples. In this report, which is a further study of the previous investigation, we newly investigate the method based on the subspace method and DP matching. 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 / DP matching / subspace method / UNIPEN database |
Paper # | TL2005-88,PRMU2005-223 |
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Committee | PRMU |
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Conference Date | 2006/2/17(1days) |
Place (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) | On-line Character Recognition based on Subspace Method and DP Matching |
Sub Title (in English) | |
Keyword(1) | online character recognition |
Keyword(2) | DP matching |
Keyword(3) | subspace method |
Keyword(4) | UNIPEN database |
1st Author's Name | Hiroto MITOMA |
1st Author's Affiliation | Graduate School of Information Science and Electrical Engineering, Kyushu University() |
2nd Author's Name | Seiichi UCHIDA |
2nd Author's Affiliation | Faculty of Information Science and Electrical Engineering, Kyushu University |
3rd Author's Name | Hiroaki SAKOE |
3rd Author's Affiliation | Faculty of Information Science and Electrical Engineering, Kyushu University |
Date | 2006-02-24 |
Paper # | TL2005-88,PRMU2005-223 |
Volume (vol) | vol.105 |
Number (no) | 615 |
Page | pp.pp.- |
#Pages | 6 |
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