dc.contributor.author | Guarnera, Francesco | |
dc.contributor.author | Giudice, Oliver | |
dc.contributor.author | Allegra, Dario | |
dc.contributor.author | Stanco, Filippo | |
dc.contributor.author | Battiato, Sebastiano | |
dc.contributor.author | Livatino, Salvatore | |
dc.contributor.author | Matranga, Vito | |
dc.contributor.author | Salici, Angelo | |
dc.date.accessioned | 2021-07-30T13:07:09Z | |
dc.date.available | 2021-07-30T13:07:09Z | |
dc.date.issued | 2021-07-29 | |
dc.identifier.citation | Guarnera , 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.issn | 2313-433X | |
dc.identifier.other | Jisc: e3790a41c5d44bb39c72a2dd5eb4d348 | |
dc.identifier.uri | http://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.abstract | The 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.extent | 14 | |
dc.format.extent | 4498724 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Imaging | |
dc.subject | Binary pattern | |
dc.subject | Document identification | |
dc.subject | Texture fingerprint | |
dc.subject | Radiology Nuclear Medicine and imaging | |
dc.subject | Computer Vision and Pattern Recognition | |
dc.subject | Computer Graphics and Computer-Aided Design | |
dc.subject | Electrical and Electronic Engineering | |
dc.title | A Robust Document Identification Framework through f-BP Fingerprint | en |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | Communications and Intelligent Systems | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Department of Engineering and Technology | |
dc.description.status | Peer reviewed | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85112058914&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.3390/jimaging7080126 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |