节点文献
一种多技术融合的古体汉字识别方法研究
A Method of Identification of Ancient Chinese Characters of Multi Technology Fusion
【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.
【Abstract】 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.
【关键词】 古体手写汉字识别;
结构特征;
特征矩阵;
【Key words】 archaic handwriting recognition; structural feature; characteristic matrix;
【Key words】 archaic handwriting recognition; structural feature; characteristic matrix;
【基金】 教育部人文社会科学研究规划基金(No.14YJA870014)
- 【文献出处】 中央民族大学学报(自然科学版) ,Journal of Minzu University of China(Natural Sciences Edition) , 编辑部邮箱 ,2018年03期
- 【分类号】TP391.4
- 【被引频次】5
- 【下载频次】171