摘要
在手写体汉字识别中,细化是关键的步骤。数学形态学细化方法是近年来汉字细化采用的主要方法。细化效果的好坏取决于结构元素的选取。在对细化算法进行大量分析的基础上,针对手写体汉字的特点对原有算法的结构元素进行了改进,细化的对象由原图像改进为归一化后图像,文中算法使用了23组汉字,每组100个汉字进行实验。实验表明,改进后的算法解决了原有算法的端点信息丢失问题,降低了算法的运行时间。
In the recognition of off-line Chinese char, thinning is an important step. Mathematical morphology algorithm is the most useful thinning method in recent years. The results are heavily influenced by the structuring element we used. With the large amount of the analysis of the thinning algorithm and the character of the Chinese char, we improved the previous structuring element. The objects are altered to unitary char. 23 group of Chinese char have been used to experiment and each group have 100 Chinese char. The results show that this algorithm solved the problem of losing the ending information and reduce the running time.
出处
《计算机系统应用》
2011年第6期184-187,共4页
Computer Systems & Applications
基金
河北省自然科学基金(08M006)
关键词
汉字
归一化
细化
数学形态学
Chinese character： unitary
thinning
mathematical morphology
