Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/353428
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampRocha, Anderson de Rezendept_BR
dc.typeArtigopt_BR
dc.titleData-driven feature characterization techniques for laser printer attributionpt_BR
dc.contributor.authorFerreira, Anselmopt_BR
dc.contributor.authorBondi, Lucapt_BR
dc.contributor.authorBaroffio, Lucapt_BR
dc.contributor.authorBestagini, Paolopt_BR
dc.contributor.authorHuang, Jiwupt_BR
dc.contributor.authordos Santos, Jefersson A.pt_BR
dc.contributor.authorTubaro, Stefanopt_BR
dc.contributor.authorRocha, Andersonpt_BR
dc.subjectImpressoras laserpt_BR
dc.subjectAprendizado profundopt_BR
dc.subjectRedes neurais convolucionaispt_BR
dc.subjectLaser printerspt_BR
dc.subjectDeep learningpt_BR
dc.subjectConvolutional neural networkspt_BR
dc.description.abstractLaser printer attribution is an increasing problem with several applications, such as pointing out the ownership of crime proofs and authentication of printed documents. However, as commonly proposed methods for this task are based on custom-tailored featpt_BR
dc.relation.ispartofIEEE transactions on information forensics and securitypt_BR
dc.relation.ispartofabbreviationpt_BR
dc.publisher.cityPiscataway, NJpt_BR
dc.publisher.countryEstados Unidospt_BR
dc.publisherInstitute of Electrical and Electronics Engineerspt_BR
dc.date.issued2017pt_BR
dc.date.monthofcirculationAug.pt_BR
dc.language.isoengpt_BR
dc.description.volume12pt_BR
dc.description.issuenumber8pt_BR
dc.description.firstpage1860pt_BR
dc.description.lastpage1873pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1556-6013pt_BR
dc.identifier.eissn1556-6021pt_BR
dc.identifier.doi10.1109/TIFS.2017.2692722pt_BR
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7895220pt_BR
dc.description.sponsorshipCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOpt_BR
dc.description.sponsorshipFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOpt_BR
dc.description.sponsorshipFAPEMIG - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE MINAS GERAISpt_BR
dc.description.sponsorshipCAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DEpt_BR
dc.description.sponsorship1CNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOpt_BR
dc.description.sponsorship1FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOpt_BR
dc.description.sponsorship1FAPEMIG - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE MINAS GERAISpt_BR
dc.description.sponsorship1CAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DEpt_BR
dc.description.sponsordocumentnumber477662/2013-7pt_BR
dc.description.sponsordocumentnumber304352/2012-8pt_BR
dc.description.sponsordocumentnumber449638/2014-6pt_BR
dc.description.sponsordocumentnumber304472/2015-8pt_BR
dc.description.sponsordocumentnumber2015/19222-9pt_BR
dc.description.sponsordocumentnumberAPQ-00768-14pt_BR
dc.description.sponsordocumentnumber99999.002341/2015-08pt_BR
dc.date.available2021-01-04T13:11:17Z-
dc.date.accessioned2021-01-04T13:11:17Z-
dc.description.provenanceMade available in DSpace on 2021-01-04T13:11:17Z (GMT). No. of bitstreams: 1 000401340500008.pdf: 2949257 bytes, checksum: 89face42ffd3fc9d706e7b20e6af009d (MD5) Previous issue date: 2017en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/353428-
dc.contributor.departmentDepartamento de Sistemas de Informaçãopt_BR
dc.contributor.unidadeInstituto de Computaçãopt_BR
dc.identifier.source000401340500008pt_BR
dc.creator.orcid0000-0002-4236-8212pt_BR
dc.type.formArtigopt_BR
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