The State-of-the-Art Technology of Currency Identification: A Comparative Study

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Author(s): Guangyu Wang (Auckland University of Technology, New Zealand), Xiaotian Wu (Jinan University, China & Chinese Academy of Sciences, China)and WeiQi Yan (Auckland University of Technology, New Zealand)
Copyright: 2019
Pages: 18
Source title: Digital Currency: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-6201-6.ch014

Keywords: Accounting and Finance / Business & Management / Business Science Reference / E-Commerce

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Abstract

The security issue of currency has attracted awareness from the public. De-spite the development of applying various anti-counterfeit methods on currency notes, cheaters are able to produce illegal copies and circulate them in market without being detected. By reviewing related work in currency security, the focus of this paper is on conducting a comparative study of feature extraction and classification algorithms of currency notes authentication. We extract various computational features from the dataset consisting of US dollar (USD), Chinese Yuan (CNY) and New Zealand Dollar (NZD) and apply the classification algorithms to currency identification. Our contributions are to find and implement various algorithms from the existing literatures and choose the best approaches for use.

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The State-of-the-Art Technology of Currency Identification: A Comparative Study

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