Hand-written Numeral Recognition Based on Probabilistic Neural Network

被引：0

作者：

Jun, Zheng ^{[1
]}

机构：

[1] Baotou Teachers Coll, Network Informat Ctr, Inner Mongolia Baotou 014030, Peoples R China

来源：

PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER, MECHATRONICS, CONTROL AND ELECTRONIC ENGINEERING (ICCMCEE 2015) | 2015年 / 37卷

关键词：

probability neural network; hand-written numeral recognition; model recognition;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper analyzes favorable properties and realization principles of probabilistic neural network and elaborates the original image pre-processing and normalization processing of hand-written numeral, proper vector extraction, network model building, and other key techniques. Finally, this paper checks the model of hand-written numeral recognition based on probabilistic neural network, the results of which show that this model has high recognition accuracy and strong stability.

引用

页码：679 / 683

页数：5

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