Art

J-GLOBAL ID：200902261506514940   Reference number：08A0041840

Segmentation of On-Line Freely Written Japanese Text Using SVM for Improving Text Recognition

テキスト認識を改善するためのSVMを使用したオンライン手書き日本語テキストのセグメンテーション

Author (2)： ZHU Bilan (Tokyo Univ. Agriculture and Technol., Koganei-shi, JPN) ,  NAKAGAWA Masaki (Tokyo Univ. Agriculture and Technol., Koganei-shi, JPN)
Material： IEICE Transactions on Information and Systems (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Inf Syst (Inst Electron Inf Commun Eng))
Volume： E91-D  Issue： 1  Page： 105-113  Publication year： Jan. 01, 2008 
JST Material Number： L1371A  ISSN： 0916-8532  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *handwritten character recognition ,...
Semi thesaurus term： neural network model ,...

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JST classification (1)： Pattern recognition  (JE07000S)

Reference (10)：

• NAKAGAWA, M. On-line handwritten Japanese text recognition free from constrains on line direction and character orientation. Proc. 7th ICDAR, Edinburgh, 2003. 2003, 519-523
• AIZAWA, H. Real-time handwritten character string segmentation using multiple stroke features. IEICE Trans. Inf. & Syst. (Japanese Edition), D-II. 1997, J80, 5, 1178-1185
• OKAMOTO, M. Online character segmentation method by means of physical features. IEICE Technical Report. 1995, PRU95-13
• SENDA, S. An online handwritten character segmentation method of which parameters can be decided by learning. IEICE Technical Report. 1998, PRMU97-219
• ZHU, B. Segmentation of on-line handwritten Japanese text of arbitrary line direction by a neural network for improving text recognition. Proc. 8th ICDAR, Seoul, Korea, 2005. 2005, 157-161

Terms in the title (5)： SVM ,  オンライン ,  手書き ,  日本語 ,  セグメンテーション