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Dominant set approach to ECG biometrics

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dc.contributor.authorLourenço, André Ribeiro
dc.contributor.authorRota Bulò, Samuel
dc.contributor.authorCarreiras, Carlos
dc.contributor.authorSilva, Hugo
dc.contributor.authorFred, Ana L. N.
dc.contributor.authorPelillo, Marcello
dc.date.accessioned2014-09-12T11:43:58Z
dc.date.available2014-09-12T11:43:58Z
dc.date.issued2013
dc.description.abstractElectrocardiographic (ECG) signals are emerging as a recent trend in the field of biometrics. In this paper, we propose a novel ECG biometric system that combines clustering and classification methodologies. Our approach is based on dominant-set clustering, and provides a framework for outlier removal and template selection. It enhances the typical workflows, by making them better suited to new ECG acquisition paradigms that use fingers or hand palms, which lead to signals with lower signal to noise ratio, and more prone to noise artifacts. Preliminary results show the potential of the approach, helping to further validate the highly usable setups and ECG signals as a complementary biometric modality.por
dc.identifier.citationLOURENÇO, André; BULÒ, Samuel Rota; CARREIRAS, Carlos; SILVA, Hugo; FRED, Ana L. N.; PELILLO, Marcello - Dominant Set Approach to ECG Biometrics. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Vol. 8258 (2013), p. 535-542.por
dc.identifier.doi10.1007/978-3-642-41822-8_67
dc.identifier.isbn978-3-642-41821-1
dc.identifier.isbn978-3-642-41822-8
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10400.21/3792
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringer Berlin Heidelbergpor
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-642-41822-8_67por
dc.subjectClusteringpor
dc.subjectDominant Setpor
dc.subjectBiometricspor
dc.subjectECGpor
dc.subjectOutlier Detectionpor
dc.subjectTemplate Selectionpor
dc.titleDominant set approach to ECG biometricspor
dc.typebook part
dspace.entity.typePublication
oaire.citation.conferencePlaceHavanapor
oaire.citation.endPage542por
oaire.citation.startPage535por
oaire.citation.titleProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Havana, Cuba, November 20-23, 2013, Proceedings, Part Ipor
oaire.citation.volume8258por
person.familyNameRota Bulò
person.familyNameCarreiras
person.familyNameSilva
person.familyNamePelillo
person.givenNameSamuel
person.givenNameCarlos
person.givenNameHugo
person.givenNameMarcello
person.identifier.ciencia-id421D-3E31-2CE7
person.identifier.orcid0000-0002-2372-1367
person.identifier.orcid0000-0003-3621-5268
person.identifier.orcid0000-0003-1585-9099
person.identifier.orcid0000-0001-8992-9243
person.identifier.scopus-author-id15622916500
person.identifier.scopus-author-id55516337900
rcaap.rightsrestrictedAccesspor
rcaap.typebookPartpor
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