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dc.creatorMarco Detchart, Cedrices_ES
dc.creatorCerrón González, Juanes_ES
dc.creatorMiguel Turullols, Laura dees_ES
dc.creatorLópez Molina, Carloses_ES
dc.creatorBustince Sola, Humbertoes_ES
dc.creatorGalar Idoate, Mikeles_ES
dc.identifier.issn1568-4946 (Print)
dc.identifier.issn1872-9681 (Electronic)
dc.description.abstractThis work tackles the comparison of radial data, and proposes comparison measures that are further applied to fingerprint analysis. First, we study the similarity of scalar and non-scalar radial data, elaborated on previous works in fuzzy set theory. This study leads to the concepts of restricted radial equivalence function and Radial Similarity Measure, which model the perceived similarity between scalar and vectorial pieces of radial data, respectively. Second, the utility of these functions is tested in the context of fingerprint analysis, and more specifically, in the singular point detection. With this aim, a novel Template-based Singular Point Detection method is proposed, which takes advantage of these functions. Finally, their suitability is tested in different fingerprint databases. Different Similarity Measures are considered to show the flexibility offered by these measures and the behaviour of the new method is compared with well-known singular point detection methods.en
dc.description.sponsorshipThe authors gratefully acknowledge the financial support of the Spanish Ministry of Science (project TIN2013- 40765-P), the Research Services of Universidad Pública de Navarra, as well as the financial support of the Research Foundation Flanders (FWO project 3G.0838.12.N).en
dc.relation.ispartofApplied Soft Computing 46 (2016) 246–259en
dc.rights© 2016 Elsevier B.V. The manuscript version is made available under the CC BY-NC-ND 4.0 licenseen
dc.subjectRadial dataen
dc.subjectRestricted equivalence functionen
dc.subjectSimilarity measureen
dc.subjectFingerprint singular point detectionen
dc.titleA framework for radial data comparison and its application to fingerprint analysisen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Automática y Computaciónes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Automatika eta Konputazioa Sailaeu
dc.contributor.departmentUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Citieses_ES
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa

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© 2016 Elsevier B.V. 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 © 2016 Elsevier B.V. The manuscript version is made available under the CC BY-NC-ND 4.0 license