Research on Digital Image Recognition System Based on Multiple Invariant Moments Theory and BP Neural Network

被引：1
|
作者：
Han Jian-ning [1 ]
Wang Ming-quan [1 ]
机构：
[1] North Univ China, Sch Informat & Commun Engn, Taiyuan, Shanxi, Peoples R China
来源：
2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 3 | 2010年
关键词：
digital image recognition system; multiple invariant moments theory; BP neural network;
D O I：
10.1109/CAR.2010.5456719
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on the pattern recognition theory, principle processes of a digital image are described. To achieve de-noising, sharpening, binary transformation, edge extraction and other image processing of digital image, the image recognition system was programmed in C language. The system calculates the seven invariant moments as all characters of an image, recognizes an image by BP neural network.
引用
收藏
页码：399 / 402
页数：4
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