Art

J-GLOBAL ID：202002270475192028   Reference number：20A2212891

Online trajectory recovery from offline handwritten Japanese kanji characters

オフライン手書き日本語漢字からのオンライン筆跡回復

Author (4)： NGUYEN Hung Tuan (Tokyo Univ. Agriculture and Technol., Tokyo, JPN) ,  NAKAMURA Tsubasa (Tokyo Univ. Agriculture and Technol., Tokyo, JPN) ,  NGUYEN Cuong Tuan (Tokyo Univ. Agriculture and Technol., Tokyo, JPN) ,  NAKAGAWA Masaki (Tokyo Univ. Agriculture and Technol., Tokyo, JPN)
Material： 電子情報通信学会技術研究報告(Web)  (IEICE Technical Report (Web))
Volume： 120  Issue： 154(PRMU2020 8-17)  Page： 19-27 (WEB ONLY)  Publication year： Aug. 26, 2020 
JST Material Number： U2030A  ISSN： 2432-6380  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： writing method ,  *handwritten character recognition ,  *neural network(biomodel) ,  Gaussian model ,  experiment ,  kanji ,  coder ,  decoder
Semi thesaurus term： handwriting ,  handwriting ,  アテンション機構 ,  Long Short Term Memory Neural Network ,  GMM ,  evaluation experiment ,  deep neural network ,  encoder ,  decoder

JST classification (2)： Pattern recognition  (JE07000S) ,  Artificial intelligence  (JE08000Z)

Reference (20)：

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Terms in the title (7)： オフライン ,  手書き ,  日本語 ,  漢字 ,  オンライン ,  筆跡 ,  回復