Mostrar el registro sencillo del ítem

dc.contributor.authorPeralta, Daniel
dc.contributor.authorGalar, Mikel
dc.contributor.authorTriguero, Isaac
dc.contributor.authorPaternain, Daniel
dc.contributor.authorGarcía López, Salvador 
dc.contributor.authorBarrenechea, Edurne
dc.contributor.authorBenítez Sánchez, José Manuel 
dc.contributor.authorBustince, Humberto
dc.contributor.authorHerrera Triguero, Francisco 
dc.date.accessioned2021-01-26T11:09:58Z
dc.date.available2021-01-26T11:09:58Z
dc.date.issued2015-01-07
dc.identifier.citationPublisher verssion: Peralta, D., Galar, M., Triguero, I., Paternain, D., García, S., Barrenechea, E., ... & Herrera, F. (2015). A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. Information Sciences, 315, 67-87 [https://doi.org/10.1016/j.ins.2015.04.013]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/66010
dc.descriptionThis work was supported by the Research Projects CAB (CDTI), TIN2011-28488, and TIN2013-40765-P. D. Peralta holds an FPU scholarship from the Spanish Ministry of Education and Science (FPU12/04902).es_ES
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.es_ES
dc.description.sponsorshipResearch Projects CAB (CDTI) TIN2011-28488 TIN2013-40765-Pes_ES
dc.description.sponsorshipSpanish Government FPU12/04902es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectBiometricses_ES
dc.subjectFingerprint verificationes_ES
dc.subjectFingerprint identificationes_ES
dc.subjectLocal matchinges_ES
dc.subjectMinutiaees_ES
dc.titleA Survey on Fingerprint Minutiae-based Local Matching for Verification and Identification: Taxonomy and Experimental Evaluationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1016/j.ins.2015.04.013
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


Ficheros en el ítem

[PDF]

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Atribución-NoComercial-SinDerivadas 3.0 España
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución-NoComercial-SinDerivadas 3.0 España