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dc.contributor.authorHernández-García, Ruber
dc.contributor.authorBarrientos, Ricardo
dc.contributor.authorRojas-Rojas, Cristofher A.
dc.contributor.authorMora, Marco
dc.date.accessioned2019-12-17T12:36:54Z
dc.date.available2019-12-17T12:36:54Z
dc.date.issued2019
dc.identifier.urihttp://repositorio.ucm.cl/handle/ucm/2561
dc.description.abstractBiometric identification and verification are essential mechanisms in modern society. Palm vein recognition is an emerging biometric technique, which has several advantages, especially in terms of security against forgery. Contactless palm vein systems are more suitable for real-world applications, but two of the major challenges of the state-of-the-art contributions are image deformations and time efficiency. In the present work, we propose a new method for palm vein recognition by combining DAISY descriptor and the Coarse-to-fine PatchMatch (CPM) algorithm in a parallel matching process. Our proposal aims at providing an effective and efficient technique to obtain similarity of palm vein images considering their displacements as discriminatory information. Extensive evaluation on three publicly available databases demonstrates that the discriminability of the proposed approach reaches the state-of-the-art results while it is considerably superior in time efficiency.es_CL
dc.language.isoenes_CL
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
dc.sourceApplied Sciences, 9(14), 2805es_CL
dc.subjectIndividuals identificationes_CL
dc.subjectPalm vein recognitiones_CL
dc.subjectBiometricses_CL
dc.subjectSparse matchinges_CL
dc.subjectMulti-core algorithmes_CL
dc.titleIndividuals identification based on palm vein matching under a parallel environmentes_CL
dc.typeArticlees_CL
dc.ucm.facultadFacultad de Ciencias de la Ingenieríaes_CL
dc.ucm.indexacionScopuses_CL
dc.ucm.indexacionIsies_CL
dc.ucm.uriwww.mdpi.com/2076-3417/9/14/2805es_CL
dc.ucm.doidoi.org/10.3390/app9142805es_CL


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Atribución-NoComercial-SinDerivadas 3.0 Chile
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