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

Guangyu Wang; Xiaotian Wu; WeiQi Yan

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

机译：最新的货币识别技术：比较研究

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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.

机译：货币安全问题引起了公众的关注。尽管在货币纸币上应用了各种防伪方法，骗子却能够制作出非法副本并在市场上流通而不会被发现。通过回顾有关货币安全的相关工作，本文的重点是对货币票据认证的特征提取和分类算法进行比较研究。我们从包含美元（USD），人民币（CNY）和新西兰元（NZD）的数据集中提取各种计算特征，并将分类算法应用于货币识别。我们的贡献是从现有文献中找到并实现各种算法，并选择最佳的使用方法。

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来源
《International journal of digital crime and forensics》 |2017年第3期|58-73|共16页
作者
Guangyu Wang; Xiaotian Wu; WeiQi Yan;
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作者单位

Auckland University of Technology, Auckland, New Zealand;

Jinan University, Guangzhou, China;

Auckland University of Technology, School of Computer and Mathematical Sciences, Auckland, New Zealand;

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原文格式 PDF
正文语种 eng
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关键词
Classification; Comparative Study; Currency Security; Feature Extraction;

机译：分类;比较研究;货币安全;特征提取;

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机译：最先进的货币识别技术：比较研究

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

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