Fast English Letter Recognition Based on Global Feature
Dagang Liu · Computer and Digital Engineering · 2012
This paper presents a fast lowercase english letter recognition based on global feature.First the global feature of letter image is extracted through its value associated background counting,then it is template matched by seven templates.This method needs no complex thinning procedure、feature analysis which reduce the possibility of error and rejection,and it also no needs long-time train procedure such as neural network,so it is simple and fast.At the same time,since global feature of different typeface is the same basically,the method has high recognition rate as well.