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  •   Open Research
  • AUT Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
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The State-of-the-art Technology of Currency Identification: A Comparative Study

Wang, G; Wu, X; Yan, W-Q
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Permanent link
http://hdl.handle.net/10292/10706
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Abstract
The security issue of currency has attracted awareness from the public. Despite 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 data set 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 literature and choose the best approaches for use.
Keywords
Currency Security, Feature Extraction, Classification, Comparative Study
Date
June 2017
Source
International Journal of Digital Crime and Forensics (IJDCF), 9(3), 58-72.
Item Type
Journal Article
Publisher
IGI Global
DOI
10.4018/IJDCF.2017070106
Publisher's Version
http://www.igi-global.com/journal/international-journal-digital-crime-forensics/1112
Rights Statement
Green open access allows the author to post their final, typeset pdf of their manuscript in an institutional repository or on their personal website. The finalized paper is initially published in a subscription-based journal. Then, upon submitting a completed reuse form to IGI Global, the author is granted permission and is sent the authorized pdf for posting. There is no charge to the author (no article processing charges apply) and no embargo period is imposed.

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