Robust Stroke Segmentation Method for Handwritten Chinese Character Recognition

نویسندگان

  • Ke Liu
  • Yea-Shuan Huang
  • Ching Y. Suen
چکیده

This paper presents a robust thinning-based method for the segmentation of strokes from handwritten Chi-nese characters. A new set of feature points is proposed for the analysis of skeleton images. A geometrical graph based approach is developed for the analysis of strokes. A novel criterion is proposed for the identiication of the fork points in a skeleton image which correspond to the same joint points in the original character image. The experimental results show that the proposed method is eeective.

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تاریخ انتشار 1997