Using MST in Handwritten Chinese Characters Segmentation
Yong HAN · Journal of Software · 2006
Handwritten Chinese characters segmentation is to process strokes based on its spatial relations to form character elements for recognition. This paper introduces a method to segment Chinese characters according to the topological relations of Chinese component and minimal span tree of strokes. The experiment shows that this new method can achieve good performance. The accuracy of segmentation is over 91.6%.