Presentation | 1997/7/25 An On-line Handwritten Character Recognition Method based on Hidden Markov Models Hitoshi ITOH, Masaki NAKAGAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes an on-line handwritten character recognition method based on Hidden Markov Models. The method applies HMMs to the sequence of quantized feature vectors extracted from an input pattern. The well-known Baum-Welch algorithm has been adopted for training the models. Our large database of handwritten character patterns employed for training makes the system robust against different stroke orders and peculiar patterns. Combining HMM probabilities obtained from two or three different feature sequences reduces the recognition errors for similar patterns. The effectiveness of the proposed method is shown through experiments on 76,340 character patterns of the 46 Hiragana categories. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | on-line handwritten character recognition / Hidden Markov Model / vector quantization |
Paper # | MVE97-70 |
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Committee | MVE |
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Conference Date | 1997/7/25(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An On-line Handwritten Character Recognition Method based on Hidden Markov Models |
Sub Title (in English) | |
Keyword(1) | on-line handwritten character recognition |
Keyword(2) | Hidden Markov Model |
Keyword(3) | vector quantization |
1st Author's Name | Hitoshi ITOH |
1st Author's Affiliation | Department of Computer Science Tokyo University of Agriculture and Technology() |
2nd Author's Name | Masaki NAKAGAWA |
2nd Author's Affiliation | Department of Computer Science Tokyo University of Agriculture and Technology |
Date | 1997/7/25 |
Paper # | MVE97-70 |
Volume (vol) | vol.97 |
Number (no) | 207 |
Page | pp.pp.- |
#Pages | 6 |
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