Stroke order computer-based assessment with grey measure scoring
The purpose of this study is to propose a novel algorithm with grey measure for scoring stroke order of Chinese character handwriting in a computer-based assessment system. The learning of stroke order is very important for a fixed stroke handwriting character system therefore this study based on the theory of ¿five indexing system of Chinese characters¿ and combine the features of strokes develops a stroke order assessment system to real-time evaluate learners' stroke order and score their character handwritings. Except using traditional additive scoring method and a non-additive fuzzy scoring, a new approach based on grey measure was developed. A real data set with 65 samples was examined and experiment results show that the performances of this novel scoring model based on grey measure outperform the performance of traditional scoring and the fuzzy approach.