JOURNAL OF SOFTWARE (JSW)
ISSN : 1796-217X
Volume : 4 Issue : 2 Date : April 2009
A Chinese Handwriting Education System with Automatic Error Detection
Zhi-Hui Hu, Yun Xu, Liu-Sheng Huang, and Howard Leung
Full Text: PDF (456 KB)
We build a distance education application of a Chinese handwriting education system that allows
students to do practice at anytime and anywhere. As an intelligent tutor, the system can
automatically check the handwriting errors, such as the stroke production errors, stroke sequence
error and stroke relationship error. Then our system should provide useful feedback to the student.
In this paper, attributed relational graph matching is used to locate the handwriting errors. The
pruning strategy is applied to reduce the computational time. The experiment results show that our
proposal can handle more handwriting error cases than existing methods with a higher accuracy.
Chinese handwriting education, handwriting errors, automatic error detection, intelligent tutoring,
attributed relational graph matching.