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dc.contributor.authorPeralta, Daniel
dc.contributor.authorGarcía López, Salvador 
dc.contributor.authorBenítez Sánchez, José Manuel 
dc.contributor.authorHerrera Triguero, Francisco 
dc.date.accessioned2021-01-26T09:28:19Z
dc.date.available2021-01-26T09:28:19Z
dc.date.issued2017-04-27
dc.identifier.citationPublisher version: Peralta, D., García, S., Benitez, J. M., & Herrera, F. (2017). Minutiae-based fingerprint matching decomposition: methodology for big data frameworks. Information Sciences, 408, 198-212 [https://doi.org/10.1016/j.ins.2017.05.001]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/66006
dc.description.abstractFingerprint recognition, and in particular minutiae-based matching methods, are ever more deeply implanted into many companies and institutions. As the size of their identification databases grows, there is a need of flexible, reliable structures for fingerprint recognition systems. In this paper, we propose a generic decomposition methodology for minutiae-based matching algorithms that splits the calculation of the matching scores into lower level steps that can be carried out in parallel in a flexible manner. The decomposition allows to adapt any minutiae-based algorithm to frameworks such as MapReduce or Apache Spark. General and specific guidelines to enhance the performance of the adapted matching algorithms are also described. The proposal is evaluated over two matching algorithms, two Big Data frameworks (Apache Hadoop and Apache Spark) and two large-scale fingerprint databases, with promising results concerning the identification time, in addition to the reliability, scalability, distribution and availability capabilities that are provided by such underlying frameworks.es_ES
dc.description.sponsorshipTIN2014-57251-Pes_ES
dc.description.sponsorshipTIN2013-47210-Pes_ES
dc.description.sponsorshipP12-TIC-2958es_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 recognitiones_ES
dc.subjectFingerprint matchinges_ES
dc.subjectBig Dataes_ES
dc.subjectMapReducees_ES
dc.subjectApache sparkes_ES
dc.titleMinutiae-Based Fingerprint Matching Decomposition: Methodology for Big Data Frameworkses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1016/j.ins.2017.05.001
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España