计算机工程与应用2013，Vol.49Issue(1)：227-230,4.DOI:10.3778/j.issn.1002-8331.1206-0288
基于双射变换的脱机手写数字识别方法
Off-line handwritten digital recognition using bijective mapping functions
摘要
Abstract
Aiming at the low accuracy, stability and hit rate of classic feature extraction for handwritten digit recognition, a method of feature extraction and classification based on outline architectural feature is proposed. This method repeatedly extracts the outline features of a digit which is converted by some bijective mapping functions, combines the results together by using BP networks, and gets the result through statistical analysis. This feature extraction and classification meth is simple and less time consumed. The experimental results show that this method can improve the hit rate and efficiency of handwritten digit recognition.关键词
双射变换/结构特征/手写数字识别/反向传播神经网络Key words
bijective mapping/ architectural feature/ handwritten digit recognition/ Back Propagation( BP) Neural Network分类
信息技术与安全科学引用本文复制引用
王鑫,章浩泽,王朝晖,刘纯平..基于双射变换的脱机手写数字识别方法[J].计算机工程与应用,2013,49(1):227-230,4.基金项目
国家自然科学基金(No.61170124,No.61272258). （No.61170124,No.61272258）
