| Presentation | 1998/2/19 An Online Handwritten Character Segmentation Method of which Parameters can be Decided by Learning Shuji SENDA, Masahiko HAMANAKA, Keiji YAMADA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this report, a character segmentation method is proposed which obtains shape feature vectors from segmentation candidates, and evaluates the candidates by linear transformation of their feature vectors, and searches a segmentation path in which the sum of evaluated values is the best. The advantage of the proposed method is that parameters for the linear transformation can be optimized by a steepest gradient method so that segmentation rate of training data should be the best. Experiments show this method effective. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | online handwritten character segmentation / segmentation parameters / optimization |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 1998/2/19(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) | An Online Handwritten Character Segmentation Method of which Parameters can be Decided by Learning |
| Sub Title (in English) | |
| Keyword(1) | online handwritten character segmentation |
| Keyword(2) | segmentation parameters |
| Keyword(3) | optimization |
| 1st Author's Name | Shuji SENDA |
| 1st Author's Affiliation | NEC C&C Media Research Laboratories() |
| 2nd Author's Name | Masahiko HAMANAKA |
| 2nd Author's Affiliation | NEC C&C Media Research Laboratories |
| 3rd Author's Name | Keiji YAMADA |
| 3rd Author's Affiliation | NEC C&C Media Research Laboratories |
| Date | 1998/2/19 |
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| Volume (vol) | vol.97 |
| Number (no) | 558 |
| Page | pp.pp.- |
| #Pages | 8 |
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