Recognizing on-line handwritten Chinese character via FARG matching
Recognizing on-line handwritten Chinese character via FARG matching
复制标题
基于FARG匹配的在线手写汉字识别
DOI：
10.1109/icdar.1997.620578
复制
发表时间：
1997
期刊：
影响因子：
--
通讯作者：
Youshou Wu
中科院分区：
文献类型：
--
作者：
Jing Zheng;Xiaoqing Ding;Youshou Wu
提出了一种在线手写汉字识别的新方法。在我们的方法中，每一类字符都用模糊属性关系图(FARG)来描述。提出了一种松弛算法，将输入模式与每个FARG进行匹配。对于决策，通过统计技术建立相似性度量，计算输入模式与参考FARG之间的匹配度，并根据该匹配度确定识别结果。该方法的原理使其对笔划连接、笔划顺序变化以及笔划形状变形具有很强的鲁棒性。使用从6个受试者收集的22530个样本的数据库来测试我们的识别系统，该系统可以识别3755类汉字。结果表明，我们的方法是非常有效的：前1名的识别率达到98.8%，前10名的识别率达到99.7%。
The paper presents a novel method for online handwritten Chinese character recognition. In our method, each category of character is described by a fuzzy attributed relational graph (FARG). A relaxation algorithm is developed to match the input pattern with every FARG. For decision making, a similarity measure is established via statistical technique to calculate the matching degree between the input pattern and referenced FARG, according to which the recognition result is determined. The principle of our method makes it very robust against stroke connection and stroke order variation as well as stroke shape deformation. A database of 22530 samples collected from 6 subjects is used to test our recognition system which can recognize 3755 categories of Chinese characters. The result shows that our method is very effective: a top 1 recognition rate of 98.8% and a top 10 of 99.7% are reached.