摘要
针对汉字图像预处理过程中归一化算法进行了改进。先对单个汉字进行大小归一化,并在此基础上对汉字进行细化,最后对骨架图像进行修正。实验结果表明该算法有效可行,可应用于汉字识别的后续处理。
In this paper,the normalization algorithm for pre-processing Chinese characters＇ images has been improved.The size of single character is normalized at first,then the width of Chinese character stroke is attenuated on this basis,and the skeleton image is amended finally.Experimental results indicate that this method is validate and feasible and can be applied to the subsequent processing of Chinese character recognition.
出处
《计算机应用与软件》
CSCD
2011年第3期95-97,共3页
Computer Applications and Software
基金
北京市教委科研基金项目(2000KJ028)
关键词
预处理
大小归一化
细化
修正
Pre-processing Size normalization Thinning algorithm Amendment
