基于FARG匹配的在线手写汉字识别

Proceedings of the Fourth International Conference on Document Analysis and Recognition Pub Date : 1997-08-18 DOI:10.1109/ICDAR.1997.620578

Jing Zheng, Xiaoqing Ding, Youshou Wu

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引用次数: 13

摘要

提出了一种新的在线手写体汉字识别方法。在我们的方法中，每一类特征用模糊属性关系图(FARG)来描述。开发了一种松弛算法来匹配输入模式与每个FARG。在决策方面，通过统计技术建立相似度度量，计算输入模式与参考FARG之间的匹配程度，从而确定识别结果。该方法对笔画连接、笔画顺序变化和笔画形状变形具有很强的鲁棒性。以6个被试的22530个样本为数据库样本，对该识别系统进行了测试，该识别系统可识别3755类汉字。结果表明，该方法非常有效，前1名识别率为98.8%，前10名识别率为99.7%。

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Recognizing on-line handwritten Chinese character via FARG matching

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.

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Proceedings of the Fourth International Conference on Document Analysis and Recognition

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