Show simple item record

dc.creatorPeralta, Danieles_ES
dc.creatorGalar Idoate, Mikeles_ES
dc.creatorTriguero, Isaaces_ES
dc.creatorPaternain Dallo, Danieles_ES
dc.creatorGarcía, Salvadores_ES
dc.creatorBarrenechea Tartas, Edurnees_ES
dc.creatorBenítez, José Manueles_ES
dc.creatorBustince Sola, Humbertoes_ES
dc.creatorHerrera, Franciscoes_ES
dc.date.accessioned2015-07-23T16:40:40Z
dc.date.available2017-04-16T23:00:15Z
dc.date.issued2015
dc.identifier.issn0020-0255
dc.identifier.urihttps://hdl.handle.net/2454/17645
dc.description.abstractFingerprint recognition has found a reliable application for verification or identification of people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several perceptions observed by the experts; such as the distinctiveness and the permanence on humans and the performance in real applications. Among the main stages of fingerprint recognition, the automated matching phase has received much attention from the early years up to nowadays. This paper is devoted to review and categorize the vast number of fingerprint matching methods proposed in the specialized literature. In particular, we focus on local minutiae-based matching algorithms, which provide good performance with an excellent trade-off between efficacy and efficiency. We identify the main properties and differences of existing methods. Then, we include an experimental evaluation involving the most representative local minutiae-based matching models in both verification and evaluation tasks. The results obtained will be discussed in detail, supporting the description of future directions.en
dc.description.sponsorshipThis work was supported by the Research Projects CAB (CDTI), TIN2011-28488, and TIN2013-40765-P. D.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofInformation Sciences 315 (2015) 67–87en
dc.rights© 2015 Elsevier Inc. The manuscript version is made available under the CC BY-NC-ND 4.0 license.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBiometricsen
dc.subjectFingerprint verificationen
dc.subjectFingerprint identificationen
dc.subjectLocal matchingen
dc.subjectMinutiaeen
dc.titleA survey on fingerprint minutiae-based local matching for verification and identification: taxonomy and experimental evaluationen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.contributor.departmentAutomática y Computaciónes_ES
dc.contributor.departmentAutomatika eta Konputazioaeu
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.embargo.terms2017-04-16
dc.identifier.doi10.1016/j.ins.2015.04.013
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN//TIN2011-28488/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TIN2013-40765-P/ES/en
dc.relation.publisherversionhttps://dx.doi.org/10.1016/j.ins.2015.04.013
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

© 2015 Elsevier Inc. The manuscript version is made available under the CC BY-NC-ND 4.0 license.
Except where otherwise noted, this item's license is described as © 2015 Elsevier Inc. The manuscript version is made available under the CC BY-NC-ND 4.0 license.

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
Logo MinisterioLogo Fecyt