摘要
本文就手写古汉字的识别存在的困难,针对古汉字图像复杂,具有丰富性和逻辑性的结构特征.结合部件、整体广义密度、二维网格笔画等特征,将这一技术与其他多种技术进行综合,提出算法,进行仿真实验.在多学科交叉的古汉字识别技术方面进行探索.
There are still many difficulties in the recognition of handwritten. The ancient Chinese characters are very complex,have structural features of richness and logicality. Combined with the features of the component,the overall generalized density,the characteristics of two dimensional grid strokes,and integrated with a variety of other technologies,the algorithm is put forward,and the simulation experiment is carried out. The recognition technology of multidisciplinary intersecting is explored.
作者
马海云
张忠林
MA Hai-yun1, ZHANG Zhong-lin2(1. School of electronic information and electrical engineering, Tianshui Normal University, Tianshui 741001, China 2. School of Electronic and Information Engineering ,Lanzhou Jiaotong University, Lanzhou 730070, China)
出处
《中央民族大学学报（自然科学版）》
2018年第3期44-47,共4页
Journal of Minzu University of China(Natural Sciences Edition)
基金
教育部人文社会科学研究规划基金(No.14YJA870014)
关键词
古体手写汉字识别
结构特征
特征矩阵
archaic handwriting recognition
structural feature
characteristic matrix
