摘要
文章从文字识别及所占像素点重采样、符号线划矢量化、符号与文字匹配几个环节,由文字与符号的形状特征着手,对进行匹配的符号与文字综合采取了分类、分区、像素点重采样、无用对象排除、过滤干扰项、赋予位置权重等多种技术手段,实现符号的矢量化及与文字的良好的匹配,方法简单易行,快速准确。
This paper expatiated a method on how to make the vector symbols match characters,which integrated several techniques ,including classify ,subarea ,re-sampling ,removing no-use objects ,filtrating intruder and setting position power etc.It dicussed from three side ,character identity and its pixels re-sampling ,symboling vector and symbol matching characters.The method discussed in the paper is simple ,efficiency and unerring.
出处
《测绘科学》
CSCD
北大核心
2009年第S2期220-221,240,共3页
Science of Surveying and Mapping
关键词
符号
文字
分类
分区
重采样
无用对象排除
干扰项过滤
位置权重
symbol
character
classify
subarea
re-sampling
removing no-use objects
filtrating intruder
position power
