Error Correcting Graph Matching: On the Influence of the Underlying Cost Function
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handwritten Chinese Radical Recognition Using Nonlinear Active Shape Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Offline Handwritten Chinese Character Recognition viaRadical Extraction and Recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
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)
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 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
Minimum Error Discriminative Training for Radical-Based Online Chinese Handwriting Recognition
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
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
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One of the difficulties in learning Chinese characters is distinguishing similar characters. This can cause misunderstanding and miscommunication in daily life. Thus, it is important for students learning the Chinese language to be able to distinguish similar characters and understand their proper usage. In this paper, the authors propose a game style framework to train students to distinguish similar characters. A major component in this framework is the search for similar Chinese characters in the system. From the authors' prior work, they find the similar characters by the radical information and stroke correspondence determination. This paper improves the stroke correspondence determination by using the attributed relational graph ARG matching algorithm that considers both the stroke and spatial relationship during matching. The experimental results show that the new proposed method is more accurate in finding similar Chinese characters. Additionally, the authors have implemented online educational games to train students to distinguish similar Chinese characters and made use of the improved matching method for creating the game content automatically.