Dominant color and texture feature extraction for banknote discrimination-Reference-Cited by-同舟云学术

Dominant color and texture feature extraction for banknote discrimination

Published:2017-07-27 Issue:4 Volume:26 Page:043011
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:en
Short-container-title:J. Electron. Imaging

Author:

Wang Junmin¹,Fan Yangyu²,Li Ning³

Affiliation:

1. Northwestern Polytechnical University, School of Electronics and Information, Chang’an District, Xi’an, ChinabPingdingshan University, School of Information Engineering, Xincheng District, Pingdingshan, China

2. Northwestern Polytechnical University, School of Electronics and Information, Chang’an District, Xi’an, China

3. Pingdingshan University, School of Information Engineering, Xincheng District, Pingdingshan, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference18 articles.

1. Distinctive point extraction and recognition algorithm for various kinds of Euro banknotes;Lee,2004

2. Bank note classification using neural networks

3. An Intelligent Paper Currency Recognition System

4. Banknote recognition: investigating processing and cognition framework using competitive neural network

5. Using Hidden Markov Models for paper currency recognition

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