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ECG biometrics using a dissimilarity space representation

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dc.contributor.authorFerreira, Rui
dc.contributor.authorFred, Ana
dc.contributor.authorLourenço, André Ribeiro
dc.contributor.authorCarreiras, Carlos
dc.contributor.authorMarques, Francisco
dc.date.accessioned2016-04-14T18:05:39Z
dc.date.available2016-04-14T18:05:39Z
dc.date.issued2015
dc.description.abstractElectrocardiogram (ECG) biometrics are a relatively recent trend in biometric recognition, with at least 13 years of development in peer-reviewed literature. Most of the proposed biometric techniques perform classifi-cation on features extracted from either heartbeats or from ECG based transformed signals. The best representation is yet to be decided. This paper studies an alternative representation, a dissimilarity space, based on the pairwise dissimilarity between templates and subjects' signals. Additionally, this representation can make use of ECG signals sourced from multiple leads. Configurations of three leads will be tested and contrasted with single-lead experiments. Using the same k-NN classifier the results proved superior to those obtained through a similar algorithm which does not employ a dissimilarity representation. The best Authentication EER went as low as 1:53% for a database employing 503 subjects. However, the employment of extra leads did not prove itself advantageous.pt_PT
dc.identifier.citationFERREIRA, Rui; [et al] - ECG biometrics using a dissimilarity space representation. BIOSIGNALS 2015, 8th International Conference on Bio-Inspired Systems and Signal Processing and BIOSTEC 2015, 8th International Joint Conference on Biomedical Engineering Systems and Technologies. ISBN 978-989758069-7. pp. 350-359, 2015pt_PT
dc.identifier.doi10.5220/0005289303500359pt_PT
dc.identifier.isbn978-989758069-7
dc.identifier.urihttp://hdl.handle.net/10400.21/5988
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSciTePresspt_PT
dc.subjectAuthenticationpt_PT
dc.subjectBiometricspt_PT
dc.subjectDissimilarity representationpt_PT
dc.subjectDissimilarity spacept_PT
dc.subjectECGpt_PT
dc.subjectFeature spacept_PT
dc.subjectHeartbeatpt_PT
dc.subjectIdentificationpt_PT
dc.subjectNearest neighborpt_PT
dc.subjectSegmentationpt_PT
dc.titleECG biometrics using a dissimilarity space representationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisbon, Portugalpt_PT
oaire.citation.endPage359pt_PT
oaire.citation.startPage350pt_PT
oaire.citation.titleBIOSIGNALS 2015, 8th International Conference on Bio-Inspired Systems and Signal Processing and BIOSTEC 2015, 8th International Joint Conference on Biomedical Engineering Systems and Technologiespt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT

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