识别联机手写体汉字的多级分类方法  

A on-line stroke based multi-level handwriting Chinese character recognition method

作　　者：贾永康[1] 李文[2] 

机构地区：[1]西安电子科技大学电子研究所 [2]西安石油学院计算机系

出　　处：《信号处理》1995年第4期265-271,共7页Journal of Signal Processing

摘　　要：本文提出了一种基于笔划的联机手写体汉字多级识别方法，包括拐折码笔划识别方法和笔划位置的模糊匹配方法，拐折码法具有笔划识别率高，对笔划变形的容忍度大，计算简单等特点，笔划位置匹配法不要求笔顺，对书写者的限制比较少，本方法对国标二级汉字的识别率为95％，不要求笔顺，识别速度达到实时要求。A on-line stroke based multi-level handwriting Chinese character recognition method is presented,including turn-code stroke recognition approach and stroke position fuzzy matching mehtod.There are several ad vantages with this stroke recognition method such as high recognition rate,high degree of tolerance to stroke vari ance and simplicity.The stroke position fuzzy matching position fuzzy matching method do not need stroke strokes writing order,and there are limited restriction to writer. The recognition rate of is about 95%.The recognition speed satisties the requirement of real-time recognition.

关 键 词：文字识别 模式识别 汉字识别 多级分类 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]