DocumentCode
3303586
Title
A Coin Recognition System with Rotation Invariance
Author
Chen, Cai-ming ; Zhang, Shi-qing ; Chen, Yue-fen
fYear
2010
fDate
24-25 April 2010
Firstpage
755
Lastpage
757
Abstract
This paper introduces a coin recognition method with rotation invariance. The rotation invariance feature is represented by the absolute value of Fourier coefficients of polar image of the coin on circles with different radii. Moreover, the Fourier approximation of the coin image is used to reduce the variations on surface of coin such as light reflection effect. Then coins can be distinguished by feeding those features into a multi-layered BP neural network. Finally the coin recognition experiments are given to show the effectiveness of the proposed method.
Keywords
Feature extraction; Fourier transforms; Frequency; Image recognition; Image registration; Image segmentation; Magnetic materials; Neural networks; Pixel; Testing; BP neural network; Fourier transform; coordinate transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location
Kaifeng, China
Print_ISBN
978-1-4244-6595-8
Electronic_ISBN
978-1-4244-6596-5
Type
conf
DOI
10.1109/MVHI.2010.60
Filename
5532477
Link To Document