On-Line Cursive Kanji Character Recognition Using Stroke-Based Affine Transformation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An on-line Japanese character recognition method using length-based stroke correspondence algorithm
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
A Robotic Teacher of Chinese Handwriting
HAPTICS '02 Proceedings of the 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
An Algorithm for On-Line Strokes Verification of Chinese Characters Using Discrete Features
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Similar Chinese Characters Recognition Using Multiresolution Feature Space
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 02
Proceedings of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding
International Journal of Distance Education Technologies
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In learning Chinese, many students often have the problem of mixing up similar characters. This can cause misunderstanding and miscommunication in daily life. It is thus important for students learning the Chinese language to be able to distinguish similar characters and understand their proper usage. In this paper, we propose a game style framework in which the game content in identifying similar Chinese characters in idioms and words is created automatically. Our prior work on analyzing students' Chinese handwriting can be applied in the similarity measure of Chinese characters. We extend this work by adding the component of radical extraction to speed up the search process. Experimental results show that the proposed method is more accurate and faster in finding more similar Chinese characters compared with the baseline method without considering the radical information.