Research on digital image recognition system based on multiple invariant moments theory and BP neural network

Authors:
Jian-ning Han;Ming-quan Wang
Affiliations:
School of Information and Communication Engineering, North University of China, Taiyuan, Shanxi, China;School of Information and Communication Engineering, North University of China, Taiyuan, Shanxi, China
Venue:
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 3
Year:
2010

Citing 3
Cited 0

Estimation of Planar Curves, Surfaces, and Nonplanar Space Curves Defined by Implicit Equations with Applications to Edge and Range Image Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition, Third Edition

Pattern Recognition, Third Edition

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.