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基于笔划提取和合并的离线手写体汉字字符切分算法
引用本文:赵宇明,江兴智,施鹏飞.基于笔划提取和合并的离线手写体汉字字符切分算法[J].红外与激光工程,2002,31(1):23-27.
作者姓名:赵宇明  江兴智  施鹏飞
作者单位:上海交通大学图像处理与模式识别研究所,上海,200030
摘    要:手写体汉字字符切分是离线汉字字符识别预处理中的一个重要问题,针对离线手写体汉字,提出一种基于笔划提取和合并的手写体汉字字符切分算法。该算法首先基于方向游程提取汉字的笔划,并建立笔划框,再根据汉字笔划的结构知识对笔划框进行合并,得到字符的切分结果。该算法能较好地解决粘连汉字字符的切分问题,对从现场随机采集的2500封手写体信函地址汉字进行切分,单字正确率可达91.5%。

关 键 词:手写体汉字切分  离线汉字识别  汉字笔划  笔划框  笔划提取
文章编号:1007-2276(2002)01-0023-05
收稿时间:2001/6/28
修稿时间:2001年6月28日

Algorithm for off-line handwritten Chinese character segmentation based on extracting and knowledge-based merging of stroke bounding boxes
ZHAO Yu\|ming,\ JIANG Xing\|zhi,\ SHI Peng\|fei.Algorithm for off-line handwritten Chinese character segmentation based on extracting and knowledge-based merging of stroke bounding boxes[J].Infrared and Laser Engineering,2002,31(1):23-27.
Authors:ZHAO Yu\|ming  \ JIANG Xing\|zhi  \ SHI Peng\|fei
Abstract:Segmentation of handwritten Chinese characters is an important task for preprocessing of Chinese character recognition. A new algorithm for handwritten Chinese character segmentation based on extracting and knowledge\|based merging of stroke bounding boxes is proposed in this paper. The knowledge\|based merging operations are used to merge stroke bounding boxes according to the structure feature of Chinese characters. The experiment shows the new algorithm is very effective for off\|line handwritten Chinese character segmentation.
Keywords:Handwritten Chinese character segmentation  \ Off\|line Chinese character recognition  \ Stroke of chinese characters  \ Stroke bounding box
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