| Presentation | 2001/3/15 On-line Handwritten Character Recognition based on Stroke-HMM in non Visual-feedback Writing Condition Naoto AKIRA, Mitsuru NAKAI, Hiroshi SHIMODAIRA, Shigeki SAGAYAMA, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes a stroke-HMM based on-line handwritten character recognition in wearable computing environments where the writer has no visual feedback of written characters. First, we propose an adaptation technique for correctly recognizing the leaned characteers caused by unusual writing positions. Experiments of on-line hand-written Kanji character recognition with a lexicon of 1016 elementary characters revealed that the proposed technique reduced the error rate by about 38% compared with the case of no adaptation. Secondly, we propose a method of automatically training a dictionary with a database of on-line handwritten characters in order to tackle the problem of non-unique stroke orders. Experimental results showed that the error rate was reduced by about 28% when 300 new definitions of stroke orders were added to the original handmade dictionary. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | on-line handwritten character recognition / stroke HMM / HMM / leaned character / dictionary |
| Paper # | PRMU2000-206 |
| Date of Issue |
| Conference Information | |
| Committee | PRMU |
|---|---|
| Conference Date | 2001/3/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On-line Handwritten Character Recognition based on Stroke-HMM in non Visual-feedback Writing Condition |
| Sub Title (in English) | |
| Keyword(1) | on-line handwritten character recognition |
| Keyword(2) | stroke HMM |
| Keyword(3) | HMM |
| Keyword(4) | leaned character |
| Keyword(5) | dictionary |
| 1st Author's Name | Naoto AKIRA |
| 1st Author's Affiliation | School of Information Science, Japan Advanced Institute of Science and Technology() |
| 2nd Author's Name | Mitsuru NAKAI |
| 2nd Author's Affiliation | School of Information Science, Japan Advanced Institute of Science and Technology |
| 3rd Author's Name | Hiroshi SHIMODAIRA |
| 3rd Author's Affiliation | School of Information Science, Japan Advanced Institute of Science and Technology |
| 4th Author's Name | Shigeki SAGAYAMA |
| 4th Author's Affiliation | School of Information Science, Japan Advanced Institute of Science and Technology:Graduate School of Engineering, University of Tokyo |
| Date | 2001/3/15 |
| Paper # | PRMU2000-206 |
| Volume (vol) | vol.100 |
| Number (no) | 701 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |