Automated Chinese Handwriting Error Detection Using Attributed Relational Graph Matching
ICWL '08 Proceedings of the 7th international conference on Advances in Web Based Learning
Proceedings of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding
Automatic Content Creation for Games to Train Students Distinguishing Similar Chinese Characters
ICWL '009 Proceedings of the 8th International Conference on Advances in Web Based Learning
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
A web-based chinese handwriting education system with automatic feedback and analysis
ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
International Journal of Distance Education Technologies
| Hi-index | 0.00 |
Because most Japanese characters consist of several strokes, many recognition methods determine stroke correspondence before calculating the distance between the input character and the template character. When the writing style is cursive, however, the stroke number is changeable. If stroke numbers differ between the input and template characters, stroke correspondence is not one-to-one, and it is not easy to determine the correspondence. The method proposed, uses stroke length, because these lengths are relatively stable even when the writing is cursive. The calculation of recognition using stroke lengths is faster than that of recognition using other multidimensional feature values such as the coordinates. Experimental results show the effectiveness of the proposed method.