摘要
介绍了粗糙集理论在字符识别中的应用。首先叙述了粗糙集理论的相关内容，并讨论了粗糙集中的概念和方法与字符识别的关系，然后介绍了几个常用的粗糙集在字符识别中应用的算法并给出了例子。
The theme of how to apply rough set theory in character recognition is introduced in this paper. Firstly, the related content of rough set theory is reviewed, and the relationship between the methods and concepts of rough set and that of character recognition is discussed. Then several algorithms of rough set theory and some examples are given.
出处
《计算机工程》
CAS
CSCD
北大核心
2002年第11期193-194,277,共3页
Computer Engineering
关键词
粗糙集理论
字符识别
特征提取
特征选择
神经网络
模式分类
Rough set
Optical character recognition
Feature extraction
Feature selection
Neural network
Pattern classification
