Presentation | 2000/2/22 A Method of Generating High Quality Online Character Recognition Dictionary Based on Training Samples Katsuhiko Akiyama, Kazushi Ishigaki, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a method of generating a high quality dictionary from learning handwritten samples, for an online character recognizer which uses a time sequence of characteristic points as a dictionary template. Our method consists of two phases. In the first phase, we decide the optimal number of clusters by generating clusters using LBG, and generate the average template from each cluster by applying an elastic pattern matching algorithm. In the second phase, each average template is adjusted by a kind of LVQ to avoid miss-recognition between similar categories. In our experiment, the recognition accuracy improves about 2% while dictionary size increases little from 157KB to 166KB. Especially, the improvement is noticeable for small-stroke-categories. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | pen input / character recognition / online / recognition dictionary / generating pattern |
Paper # | PRMU99-235 |
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Committee | PRMU |
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Conference Date | 2000/2/22(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) | A Method of Generating High Quality Online Character Recognition Dictionary Based on Training Samples |
Sub Title (in English) | |
Keyword(1) | pen input |
Keyword(2) | character recognition |
Keyword(3) | online |
Keyword(4) | recognition dictionary |
Keyword(5) | generating pattern |
1st Author's Name | Katsuhiko Akiyama |
1st Author's Affiliation | Fujitsu Laboratories Ltd.() |
2nd Author's Name | Kazushi Ishigaki |
2nd Author's Affiliation | Fujitsu Laboratories Ltd. |
Date | 2000/2/22 |
Paper # | PRMU99-235 |
Volume (vol) | vol.99 |
Number (no) | 649 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |