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dc.contributor.authorVáňa, T.
dc.date.accessioned2015-08-25T08:42:59Z
dc.date.available2015-08-25T08:42:59Z
dc.date.issued2015cs
dc.identifier.citationProceedings of the 21st Conference STUDENT EEICT 2015. s. 258-260. ISBN 978-80-214-5148-3cs
dc.identifier.isbn978-80-214-5148-3
dc.identifier.urihttp://hdl.handle.net/11012/42994
dc.description.abstractThis paper deals with biometric fingerprint liveness detection. A software-based liveness detection approach using neural network is proposed. To distinguish between live and fake samples, three image quality features extracted from one image are used. The algorithm is tested on LivDet database comprising real and fake images acquired with three sensors.en
dc.formattextcs
dc.format.extent258-260cs
dc.format.mimetypeapplication/pdfen
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 21st Conference STUDENT EEICT 2015en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.subjectBiometric systemen
dc.subjectfingerprinten
dc.subjectliveness detectionen
dc.subjectLivDet databaseen
dc.subjectneural networken
dc.titleBiometric Fingerprint Liveness Detectionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
but.event.date23.04.2015cs
but.event.titleStudent EEICT 2015cs
dc.rights.accessopenAccessen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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