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dc.contributor.authorGuarnera, Francesco
dc.contributor.authorGiudice, Oliver
dc.contributor.authorAllegra, Dario
dc.contributor.authorStanco, Filippo
dc.contributor.authorBattiato, Sebastiano
dc.contributor.authorLivatino, Salvatore
dc.contributor.authorMatranga, Vito
dc.contributor.authorSalici, Angelo
dc.date.accessioned2021-07-30T13:07:09Z
dc.date.available2021-07-30T13:07:09Z
dc.date.issued2021-07-29
dc.identifier.citationGuarnera , F , Giudice , O , Allegra , D , Stanco , F , Battiato , S , Livatino , S , Matranga , V & Salici , A 2021 , ' A Robust Document Identification Framework through f-BP Fingerprint ' , Journal of Imaging , vol. 7 , no. 8 , 126 , pp. e126 . https://doi.org/10.3390/jimaging7080126
dc.identifier.issn2313-433X
dc.identifier.otherPURE: 25665996
dc.identifier.otherPURE UUID: 1723dcea-d4ee-412a-b092-2f89089c963a
dc.identifier.otherJisc: e3790a41c5d44bb39c72a2dd5eb4d348
dc.identifier.otherScopus: 85112058914
dc.identifier.urihttp://hdl.handle.net/2299/24935
dc.description© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
dc.description.abstractThe identification of printed materials is a critical and challenging issue for security purposes, especially when it comes to documents such as banknotes, tickets, or rare collectable cards: eligible targets for ad hoc forgery. State-of-the-art methods require expensive and specific industrial equipment, while a low-cost, fast, and reliable solution for document identification is increasingly needed in many contexts. This paper presents a method to generate a robust fingerprint, by the extraction of translucent patterns from paper sheets, and exploiting the peculiarities of binary pattern descriptors. A final descriptor is generated by employing a block-based solution followed by principal component analysis (PCA), to reduce the overall data to be processed. To validate the robustness of the proposed method, a novel dataset was created and recognition tests were performed under both ideal and noisy conditions.en
dc.format.extent14
dc.language.isoeng
dc.relation.ispartofJournal of Imaging
dc.rightsOpen
dc.subjectBinary pattern
dc.subjectDocument identification
dc.subjectTexture fingerprint
dc.subjectRadiology Nuclear Medicine and imaging
dc.subjectComputer Vision and Pattern Recognition
dc.subjectComputer Graphics and Computer-Aided Design
dc.subjectElectrical and Electronic Engineering
dc.titleA Robust Document Identification Framework through f-BP Fingerprinten
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85112058914&partnerID=8YFLogxK
dc.relation.schoolSchool of Physics, Engineering & Computer Science
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2021-07-29
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.3390/jimaging7080126
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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