Handwritten Hangul character recognition with hierarchical stochastic character representation
Handwritten Hangul character recognition with hierarchical stochastic character representation
复制标题
使用分层随机字符表示的手写韩文字符识别
DOI：
10.1109/icdar.2003.1227661
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
J. H. Kim
中科院分区：
文献类型：
--
作者：
K. Kang;J. H. Kim
在结构化字符识别中，一个字符通常被看作是一组笔画及其之间的空间关系。本文提出了一种随机建模方案，该方案利用目标字符的层次特征来表示笔画和关系。在此基础上，开发了一个手写朝鲜语字符识别系统。在公共数据库上进行的实验结果表明了该方案的有效性。
In structural character recognition, a character is usually viewed as a set of strokes and the spatial relationships between them. In this paper, we propose a stochastic modeling scheme by which strokes as well as relationships are represented by utilizing the hierarchical characteristics of target characters. Based on the proposed scheme, a handwritten Hangul (Korean) character recognition system is developed. The effectiveness of the proposed scheme is shown through experimental results conducted on a public database.