| Presentation | 2016-06-13 Stroke-by-stroke Kanji Stroke Order Evaluation Using Shape Context Feature Kazuhiro Mita, Masaki Nakagawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Learning of writing Kanji characters of Chinese origin is still one of the important subjects in elementary education. This paper presents stroke order evaluation methods for Kanji characters written on a tablet. So far several methods and systems have been proposed to learn how to write Kanji characters neatly with correct stroke order according to the government guidelines for education but the correctness of stroke order evaluation is still to be improved. Here, we propose methods employing shape context feature around each feature point. For extracting shape context feature, we consider not only a conventional method that extracts the distribution of feature points around a focused feature point in fan-shaped areas divided by concentric circles and several directional angles but also a method that extracts directional features around a focused feature point in square areas divided by horizontal and vertical grids. We also consider them with applying the Gauss function. We call this group of variations feature point distribution evaluation method. The methods can evaluate stroke order in real-time when a learner writes strokes one by one. Evaluation of the method shows the feature point evaluation method with square areas and the Gauss function correctly evaluates stroke order by 98.5% with the maximum time of 0.9 sec. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Assisted Learning / Stroke Order Evaluation / Shape Context Feature / On-line handwritten character recognition |
| Paper # | PRMU2016-37,SP2016-3,WIT2016-3 |
| Date of Issue | 2016-06-06 (PRMU, SP, WIT) |
| Conference Information | |
| Committee | PRMU / SP / WIT / ASJ-H |
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| Conference Date | 2016/6/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Eisaku Maeda(NTT) / Kazunori Mano(Shibaura Inst. of Tech.) / Kiyohiko Nunokawa(Tokyo International Univ.) |
| Vice Chair | Seiichi Uchida(Kyushu Univ.) / Hironobu Fujiyoshi(Chubu Univ.) / Hiroki Mori(Utsunomiya Univ.) / Chikamune Wada(Kyushu Inst. of Tech.) |
| Secretary | Seiichi Uchida(Kyoto Univ.) / Hironobu Fujiyoshi(NTT) / Hiroki Mori(Kobe Univ.) / Chikamune Wada(Shizuoka Univ.) / (Nagoya Inst. of Tech.) |
| Assistant | Masaki Oonishi(AIST) / Takuya Funatomi(NAIST) / Taichi Asami(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Tomohiro Amemiya(NTT) / Takeaki Shionome(Tsukuba Univ. of Tech.) / Manabi Miyagi(Tsukuba Univ. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Speech / Technical Committee on Well-being Information Technology / Auditory Research Meeting |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Stroke-by-stroke Kanji Stroke Order Evaluation Using Shape Context Feature |
| Sub Title (in English) | |
| Keyword(1) | Assisted Learning |
| Keyword(2) | Stroke Order Evaluation |
| Keyword(3) | Shape Context Feature |
| Keyword(4) | On-line handwritten character recognition |
| 1st Author's Name | Kazuhiro Mita |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology(Tokyo Univ. of Agri. & Tech.) |
| 2nd Author's Name | Masaki Nakagawa |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology(Tokyo Univ. of Agri. & Tech.) |
| Date | 2016-06-13 |
| Paper # | PRMU2016-37,SP2016-3,WIT2016-3 |
| Volume (vol) | vol.116 |
| Number (no) | PRMU-89,SP-90,WIT-91 |
| Page | pp.pp.13-18(PRMU), pp.13-18(SP), pp.13-18(WIT), |
| #Pages | 6 |
| Date of Issue | 2016-06-06 (PRMU, SP, WIT) |