A Stroke Extraction Model for Chinese Character
基于笔画段分割和组合的汉字笔画提取模型

The offline recognition of Chinese Characters is a very important research field in OCR. In this paper, the authors propose an effective stroke extraction model for Chinese Character based on Stroke Segmentation and Combination. Comparing with the existed models, the experiments prove that it could improve the precision for the stroke extraction and reduce the computation complexity considerably.