摘要
目前在对那些受污损的文字图像处理过程中存在着计算复杂、恢复效果欠佳等问题,针对这些问题,提出了一种基于格贴近度的不完全文字图像模糊识别方法。设计一种基于像素空间分布信息的点密度函数作为像素加权系数,确定像素模糊化矩阵向量,采用一种格贴近度方法对文字图像进行模糊识别。理论分析和实验结果表明,该方法不但可以较好地识别图像中的不完全文字,而且具有计算速度快、效率高,对不完全文字图像识别有一定的实用价值。
At present there is problems of the calculation complexity and the poor recovery effect in the processing of defaced text image. Aiming at the problems, a fuzzy identification method of incomplete text image based on grid closeness degree is dis cussed. Firstly the point density function based on the spatial distribution information of pixel is designed as the pixel weighting coefficient to determine the pixel fuzzy matrix vector. Then the fuzzy identification of text image is finished with a method of grid closeness degree. Theoretical analysis and experimental result shows that the method can effectively identify the incomplete text of the image and it has fast calculation speed. It has a certain practical value to the identification of incomplete text image.
出处
《计算机工程与设计》
CSCD
北大核心
2013年第12期4326-4330,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(61170102)
湖南省教育厅科研重点基金项目(12A042
11C0404)
湖南省科技计划基金项目(2013GK3043)
关键词
点密度函数
格贴近度
模糊隶属度
不完全文字图像
模糊识别
模糊矩阵
point density function
grid closeness degree
fuzzy membership
incomplete text image
fuzzy identification
fuzzy matrix
