Stroke Retrieval of Handwritten Chinese Character Images for Handwriting Teaching
Xun Endon · Beijing Daxue Xuebao. Zirankexueban · 2015
For intelligent teaching of Chinese character handwriting, the authors present a stroke retrieval method for handwritten Chinese character images, which includes three steps. Firstly, the method extracts the skeletons from the handwritten image. Secondly, from the perspective of knowledge engineering, it eliminates the skeleton distortions by using the stable grapheme topology. Thirdly, it divides the skeletons into some strokes and outputs the matching relationship between them and the strokes in the template character, by building and solving the similarity model with A* algorithm. The result of the method can be used to automatic quality assessment for handwritten Chinese character images.