红外与激光工程, 2002, 31 (1): 23, 网络出版: 2006-04-28
基于笔划提取和合并的离线手写体汉字字符切分算法
Algorithm for off-line handwritten Chinese character segmentation based on extracting and knowledge-based merging of stroke bounding boxes
手写体汉字切分 离线汉字识别 汉字笔划 笔划框 Handwritten Chinese character segmentation Off－line Chinese character recognition Stroke of chinese characters Stroke bounding box
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%.
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.
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. 赵宇明, 江兴智, 施鹏飞. 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.
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