摘要
1.介绍
在过去的几十年中,学术界提出了大量的汉字手写体离线识别技术.这些技术主要可以分为两类,一类是基于整体形态的识别技术,如中心投影变换等;另一类是基于笔画和字根的识别技术.
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.
出处
《计算机科学》
CSCD
北大核心
2003年第10期74-77,共4页
Computer Science
关键词
汉字笔画提取模型
笔画段分割
笔画段组合
汉字识别
汉字结构
OCR, Chinese character recognition, Stroke extraction, Region decomposition, Stroke segmentation
