Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/3792
Título: Dominant set approach to ECG biometrics
Autor: Lourenço, André Ribeiro
Bulò, Samuel Rota
Carreiras, Carlos
Silva, Hugo
Fred, Ana L. N.
Pelillo, Marcello
Palavras-chave: Clustering
Dominant Set
Outlier Detection
Template Selection
Data: 2013
Editora: Springer Berlin Heidelberg
Citação: LOURENÇO, 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.
Resumo: Electrocardiographic (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.
Peer review: yes
URI: http://hdl.handle.net/10400.21/3792
DOI: 10.1007/978-3-642-41822-8_67
ISBN: 978-3-642-41821-1
ISSN: 0302-9743
Versão do Editor: http://link.springer.com/chapter/10.1007%2F978-3-642-41822-8_67
Aparece nas colecções:ISEL - Eng. Elect. Tel. Comp. - Artigos

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