@article{oai:mie-u.repo.nii.ac.jp:00006442,
 author = {Kimura, Takuya and Hattori, Masahiro and Tsuruoka, Shinji and Kawanaka, Hiroharu and Takase, Haruhiko and Miyake, Yasuji},
 issue = {2},
 journal = {Proceedings of the Second International Workshop on Regional Innovation Studies :  (IWRIS2010)},
 month = {Oct},
 note = {application/pdf, It becomes the diffusion period of a tablet (key-board less) computer for electronic book and electronic pub-lishing, and every business elite will bring a personal tablet computer. The usage of personal tablet computer includes taking memo using the touch panel display. The taking memo using the touch panel display is written by a finger or a pen. The memo includes a figure and a character written by his finger or pen. The user desires the handwritten character recognition. The useful handwritten character recognition software, however, has not developed for Japanese characters. We will develop the personal handwritten character recogni-tion system in high accuracy using the tablet can use the tra-jectory of his finger or pen. In this paper, we describe the effectiveness of personal character recognition and a selection method of a similar writer in personal character recognition. We proposed two new recognition methods: “similar mean dictionary (SMD)” and “similar feature space dictionary (SFSD)” to improve the personal character recognition. These dictionaries use only one character, and they can estimate the personality of writing style using characters written by a simi-lar writer. The similar feature space dictionary improved the character recognition rate to 91.0 % which obtains the similar accuracy with personal dictionary. It is confirmed that only one character written by a user (specific writer) is very effec-tive for handwritten character recognition.},
 pages = {59--62},
 title = {Selection of a Similar Writer for Personal Handwritten Character Recognition},
 year = {2011}
}