Publication:
A survey of fingerprint classification Part II: experimental analysis and ensemble proposal

Simple item page
dc.contributor.authorGalar Idoate, Mikel
dc.contributor.authorDerrac, Joaquín
dc.contributor.authorPeralta, Daniel
dc.contributor.authorTriguero, Isaac
dc.contributor.authorPaternain Dallo, Daniel
dc.contributor.authorLópez Molina, Carlos
dc.contributor.authorGarcía, Salvador
dc.contributor.authorBenítez, José Manuel
dc.contributor.authorPagola Barrio, Miguel
dc.contributor.authorBarrenechea Tartas, Edurne
dc.contributor.authorBustince Sola, Humberto
dc.contributor.authorHerrera, Francisco
dc.contributor.departmentAutomática y Computaciónes_ES
dc.contributor.departmentAutomatika eta Konputazioaeu
dc.date.accessioned2015-07-23T16:36:23Z
dc.date.available2017-02-23T00:00:15Z
dc.date.issued2015
dc.description.abstractIn the first part of this paper we reviewed the fingerprint classification literature from two different perspectives: the feature extraction and the classifier learning. Aiming at answering the question of which among the reviewed methods would perform better in a real implementation we end up in a discussion which showed the difficulty in answering this question. No previous comparison exists in the literature and comparisons among papers are done with different experimental frameworks. Moreover, the difficulty in implementing published methods was stated due to the lack of details in their description, parameters and the fact that no source code is shared. For this reason, in this paper we will go through a deep experimental study following the proposed double perspective. In order to do so, we have carefully implemented some of the most relevant feature extraction methods according to the explanations found in the corresponding papers and we have tested their performance with different classifiers, including those specific proposals made by the authors. Our aim is to develop an objective experimental study in a common framework, which has not been done before and which can serve as a baseline for future works on the topic. This way, we will not only test their quality, but their reusability by other researchers and will be able to indicate which proposals could be considered for future developments. Furthermore, we will show that combining different feature extraction models in an ensemble can lead to a superior performance, significantly increasing the results obtained by individual models.en
dc.description.sponsorshipThis work was supported by the Research Projects CAB(CDTI), TIN2011-28488, and TIN2013-40765-P.en
dc.embargo.lift2017-02-23
dc.embargo.terms2017-02-23
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.1016/j.knosys.2015.02.015
dc.identifier.issn0950-7051
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/17644
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofKnowledge-Based Systems 81 (2015) 98–116en
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.knosys.2015.02.015
dc.rights© 2015 Elsevier B.V. The manuscript version is made available under the CC BY-NC-ND 4.0 license.en
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectFingerprint classificationen
dc.subjectFeature extractionen
dc.subjectClassificationen
dc.subjectFingerprint recognitionen
dc.subjectSVMen
dc.subjectNeural networksen
dc.subjectEnsemblesen
dc.subjectOrientation mapen
dc.subjectSingular pointsen
dc.subjectExperimental evaluationen
dc.titleA survey of fingerprint classification Part II: experimental analysis and ensemble proposalen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dspace.entity.typePublication
relation.isAuthorOfPublication44c7a308-9c21-49ef-aa03-b45c2c5a06fd
relation.isAuthorOfPublicationca16c024-51e4-4f8f-b457-dc5307be32d9
relation.isAuthorOfPublicationb1df82f9-2ce4-488f-afe0-98e7f27ece58
relation.isAuthorOfPublicatione5ab14f5-4f2e-4000-a415-0a7c3b28ec78
relation.isAuthorOfPublication4b0d58a5-e297-4e65-9a68-83649eb9c81b
relation.isAuthorOfPublication1bdd7a0e-704f-48e5-8d27-4486444f82c9
relation.isAuthorOfPublication.latestForDiscovery44c7a308-9c21-49ef-aa03-b45c2c5a06fd

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
surveyFingerClas2.pdf
Size:
542.32 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.78 KB
Format:
Item-specific license agreed to upon submission
Description:
Download

Collections

Artículos de revista DAC - AKS Aldizkari artikuluak
Artículos de revista - Aldizkari artikuluak