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dc.contributor.authorSáez-Trigueros, Daniel
dc.contributor.authorHertlein, Heinz
dc.contributor.authorMeng, Li
dc.contributor.authorHartnett, Margaret
dc.date.accessioned2019-03-05T11:31:06Z
dc.date.available2019-03-05T11:31:06Z
dc.date.issued2016-07-28
dc.identifier.citationSáez-Trigueros , D , Hertlein , H , Meng , L & Hartnett , M 2016 , Shape and Texture Combined Face Recognition for Detection of Forged ID Documents . in the 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016 . IEEE , Croatia , pp. 1343-1348 , The 39th International ICT Convention - MIPRO 2016 , Opatija , Croatia , 30/05/16 . https://doi.org/10.1109/MIPRO.2016.7522348
dc.identifier.citationconference
dc.identifier.isbn978-953-233-087-8
dc.identifier.otherPURE: 10195408
dc.identifier.otherPURE UUID: 1ed43dad-a530-41a4-8301-d95264470721
dc.identifier.otherScopus: 84983628521
dc.identifier.urihttp://hdl.handle.net/2299/21176
dc.description.abstractThis paper proposes a face recognition system that can be used to effectively match a face image scanned from an identity (ID) doc-ument against the face image stored in the biometric chip of such a document. The purpose of this specific face recognition algorithm is to aid the automatic detection of forged ID documents where the photography printed on the document’s surface has been altered or replaced. The proposed algorithm uses a novel combination of texture and shape features together with sub-space representation techniques. In addition, the robustness of the proposed algorithm when dealing with more general face recognition tasks has been proven with the Good, the Bad & the Ugly (GBU) dataset, one of the most challenging datasets containing frontal faces. The proposed algorithm has been complement-ed with a novel method that adopts two operating points to enhance the reliability of the algorithm’s final verification decision.en
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofthe 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016
dc.rightsOpen
dc.titleShape and Texture Combined Face Recognition for Detection of Forged ID Documentsen
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionDigital Media Processing and Biometrics
dc.contributor.institutionSmart Electronics Devices and Networks
dc.contributor.institutionInformation Engineering and Processing Architectures
dc.relation.schoolSchool of Engineering and Technology
dc.description.versiontypeFinal Accepted Version
dcterms.dateAccepted2016-07-28
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/MIPRO.2016.7522348
rioxxterms.licenseref.uriOther
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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