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The Impact of Pressure on the Fingerprint Impression: Presentation Attack Detection Scheme

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dc.affiliation.dptoUC3M. Departamento de Tecnología Electrónicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Universitario de Tecnologías de Identificación (GUTI)es
dc.contributor.authorHusseis, Anas Hussein Ahmad
dc.contributor.authorLiu Jiménez, Judith
dc.contributor.authorSanchez-Reillo, Raul
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2021-12-20T10:10:37Z
dc.date.available2021-12-20T10:10:37Z
dc.date.issued2021-08-26
dc.descriptionThis article belongs to the Special Issue Biometric Identification Systems: Recent Advances and Future Directions.en
dc.description.abstractFingerprint recognition systems have been widely deployed in authentication and verification applications, ranging from personal smartphones to border control systems. Recently, the biometric society has raised concerns about presentation attacks that aim to manipulate the biometric system’s final decision by presenting artificial fingerprint traits to the sensor. In this paper, we propose a presentation attack detection scheme that exploits the natural fingerprint phenomena, and analyzes the dynamic variation of a fingerprint’s impression when the user applies additional pressure during the presentation. For that purpose, we collected a novel dynamic dataset with an instructed acquisition scenario. Two sensing technologies are used in the data collection, thermal and optical. Additionally, we collected attack presentations using seven presentation attack instrument species considering the same acquisition circumstances. The proposed mechanism is evaluated following the directives of the standard ISO/IEC 30107. The comparison between ordinary and pressure presentations shows higher accuracy and generalizability for the latter. The proposed approach demonstrates efficient capability of detecting presentation attacks with low bona fide presentation classification error rate (BPCER) where BPCER is 0% for an optical sensor and 1.66% for a thermal sensor at 5% attack presentation classification error rate (APCER) for both.en
dc.description.sponsorshipThis work was supported by the European Union’s Horizon 2020 for Research and Innovation Program under Grant 675087 (AMBER).en
dc.description.statusPublicadoes
dc.format.extent24
dc.identifier.bibliographicCitationApplied Sciences, (2021), 11(17), 7883.en
dc.identifier.doihttps://doi.org/10.3390/app11177883
dc.identifier.issn2076-3417
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue17(7883)
dc.identifier.publicationlastpage24
dc.identifier.publicationtitleApplied Sciencesen
dc.identifier.publicationvolume11
dc.identifier.urihttps://hdl.handle.net/10016/33799
dc.identifier.uxxiAR/0000028864
dc.language.isoengen
dc.publisherMDPIen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/675087/AMBERen
dc.rights© 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.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaElectrónicaes
dc.subject.otherFingerprinten
dc.subject.otherPresentation attack detectionen
dc.subject.otherAnti-spoofingen
dc.subject.otherPresentation attacken
dc.titleThe Impact of Pressure on the Fingerprint Impression: Presentation Attack Detection Schemeen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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