Abstract
The learning of Chinese characters is important in the writing of Japanese text. However, current instruction in Chinese characters is ineffective due to insufficient time given to learning of characters, particularly at the elementary school level. The study of stroke orders by “Nazori” or “Rinnsyo” in Japanese is difficult for elementary or foreign students who are exposed to Chinese characters for the first time. In the present study, a system that displays the order of strokes by animation is presented. Since the system is able to display animation and a character that can be inputted interactively, a teacher’s instructive by OHP, video, etc., is automated, and auxiliary usefulness can be expanded. The system not only directs the order of strokes by animation, but it also indicates a wrong order of strokes by a stroke correspondence relation table, which ensures the correct order of stroke orders to be directed. A novel instruction method is proposed which directs letter-shape by using inter-stroke information, such as the relative position and relation among strokes. In this system, a letter-shape can be corrected by using inter-stroke information, and detailed instructions are realized.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sakai, M., Iwata, M., Sato, Y.: A Chinese Character Learning CAI System for Beginners. IEICE Trans. Inf. & Syst. J72-D-II(9), 1493–1500 (1989)
Shin, J., Ali, M.M., Katayama, Y., Sakoe, H.: Stroke order free on-line character recognition algorithm using inter-stroke information. IEICE Trans. Inf. & Syst. J82-D-II(3), 382–389 (1999)
Sakoe, H., Fujii, H., Yoshida, K., Watari, M.: A High Speed DP-Matching Algorithm Based on Frame Synchronization, Beam Search and Vector Quantization. IEICE Trans. Inf. J71-D(9), 1650–1659 (1988)
Shin, J., Sakoe, H.: Stroke Correspondence Search Method for Stroke-Order and Stroke-Number Free On-Line Character Recognition-Multilayer Cube Search. IEICE Trans. & Syst. J82-D-II(22), 230–239 (1999)
Yamasaki, T., Inokuchi, S., Sakurai, Y.: Training System for Well-Writing of Chinese Characters Based on Their Local Structure. Trans. IECE 1984/4 J67-D(4), 442–449 (1984)
Yamasaki, T., Yamamoto, M., Inokuchi, S.: CAI System for Acquiring Good Writing Skills Based on the Analysis of Pen Speed. IEICE Trans. & Syst. J70-D(11), 2071–2076 (1987)
Zeng, J., Inoue, T., Uchio, F., Nakanishi, H., Sanada, H., Tezuka, Y.: A Correcting System of Brush-Written Chinese Character Patterns Using a Model of Correcting Procedures of Calligraphists. IEICE Trans. & Syst. J73-D-II(2), 183–190 (1990)
Yamasaki, T., Inokuchi, S., Sakurai, Y.: Training System for Handwriting Chinese Character Using On-Line Character Recognition Techniques. Trans. IECE 1982/10 J65-D(10), 1211–1218 (1982)
Chen, H., Ozawa, S., Kitagawa, M.: Implementation of a Calligraphy Practicing System Using a Computer. IEICE Trans. & Syst. J71-A(9), 1742–1749 (1988)
Tatsuoka, R., Yoshimura, M.: Development of A Kanji Learning System for Foreign Students or Elementary Students. IEICE Trans. & Syst. ET96-36 (1996-06)
Yamamoto, M., Yamasaki, T., Inokuchi, S.: A CAI System for Penmanship Using Calligraphic Skill Knowledge. IEICE Trans. & Syst. J72-D-II(9), 1493–1500 (1989)
Ozaki, M., Adachi, Y., Ishii, N., Koyazu, T.: Fuzzy CAI System to Improve Hand Writing Skills by Using Sensuous Information. IEICE Trans. & Syst. J79-D-II(9), 1554–1561 (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shin, J., Takeda, A. (2004). Character Learning System Using Inter-stroke Information. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_22
Download citation
DOI: https://doi.org/10.1007/978-3-540-30133-2_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23206-3
Online ISBN: 978-3-540-30133-2
eBook Packages: Springer Book Archive