With the analysis of the common structures of Chinese characters, a handwritten Chinese characters segmentation method which based on the candidate characteristics strokes and multi-class threshold is proposed in view of the significant difference between the distance between Chinese characters and the distance between the components that constitute a Chinese character. Firstly, the candidate characteristics strokes are extracted from the collection of strokes that constitute handwritten Chinese characters, the handwritten Chinese characters are pre-segmented according to the candidate characteristics strokes. Then, the over-segmentation components of Chinese characters are combined by using a components combination rule based on the spacing threshold. Finally, the adhesions Chinese characters are searched by using an adhesions Chinese character judgment rule based on the single character width threshold and recursive segmented. The experiments show that the segmentation accuracy of continuous handwritten Chinese characters is quite high by this method, having certain practical.