一种用于手写体汉字切分的优化模型  

Optimal model for handwritten Chinese character segmention

作　　者：马洋涛[1] 陶志穗[1] 张金焕[1] 杨晓伟[1] 

机构地区：[1]华南理工大学数学科学学院,广州510640

出　　处：《计算机工程与应用》2008年第2期227-229,共3页Computer Engineering and Applications

基　　金：国家自然科学基金( the National Natural Science Foundation of China under Grant No.10471045);广东省自然科学基金( the Natural Science Foundation of Guangdong Province of China under Grant No.031360; No.04020079);广州市天河区科技攻关项目( No.051G041) 。

摘　　要：在连通域单元的基础上提出了一种手写体汉字切分的优化模型,该模型可以自适应的确定部件、单个字和粘连字的宽度。另外,对粘连字的切分采用了加权k的均值法。整个切分方法既提高了算法的自适应能力,又提高了切分的正确率。实验表明这种方法具有很好的切分效果。A new optimal model based on connected components is proposed,with which the breadth of parts,single characters and joined characters can be self-adaptive confirmed.In addition,weighted k-mean method is used to divide joined characters.The whole method not only improves self-adaptive ability,but also improves the veracity of segmentation.By analysis,this method has satisfactory performance for segmentation of handwritten Chinese character.

关 键 词：连通域 最小二乘 无约束 手写体汉字切分 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]