Show simple item record

dc.contributor.authorWang, Gen_NZ
dc.contributor.authorWu, Xen_NZ
dc.contributor.authorYan, W-Qen_NZ
dc.date.accessioned2017-07-28T02:46:21Z
dc.date.available2017-07-28T02:46:21Z
dc.date.copyright2017-06en_NZ
dc.identifier.citationInternational Journal of Digital Crime and Forensics (IJDCF), 9(3), 58-72.
dc.identifier.issn1941-6210en_NZ
dc.identifier.issn1941-6229en_NZ
dc.identifier.urihttp://hdl.handle.net/10292/10706
dc.description.abstractThe 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.en_NZ
dc.languageEnglishen_NZ
dc.publisherIGI Globalen_NZ
dc.relation.urihttp://www.igi-global.com/journal/international-journal-digital-crime-forensics/1112en_NZ
dc.rightsGreen 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.
dc.subjectCurrency Security, Feature Extraction, Classification, Comparative Studyen_NZ
dc.titleThe State-of-the-art Technology of Currency Identification: A Comparative Studyen_NZ
dc.typeJournal Article
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.4018/IJDCF.2017070106en_NZ
aut.relation.articlenumber6en_NZ
aut.relation.endpage72
aut.relation.issue3en_NZ
aut.relation.pages16
aut.relation.startpage58
aut.relation.volume9en_NZ
pubs.elements-id220896
aut.relation.journalInternational Journal of Digital Crime and Forensicsen_NZ


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record