Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/4797
Título: ECG Biometrics: A Template Selection Approach
Autor: Lourenço, André Ribeiro
Carreiras, Carlos
Silva, Hugo Plácido da
Fred, Ana Luísa Nobre
Palavras-chave: Identification
Data: 2014
Editora: IEEE - Institute of Electrical and Electronics Engineers Inc.
Resumo: Electrocardiography (ECG) biometrics is emerging as a viable biometric trait. Recent developments at the sensor level have shown the feasibility of performing signal acquisition at the fingers and hand palms, using one-lead sensor technology and dry electrodes. These new locations lead to ECG signals with lower signal to noise ratio and more prone to noise artifacts; the heart rate variability is another of the major challenges of this biometric trait. In this paper we propose a novel approach to ECG biometrics, with the purpose of reducing the computational complexity and increasing the robustness of the recognition process enabling the fusion of information across sessions. Our approach is based on clustering, grouping individual heartbeats based on their morphology. We study several methods to perform automatic template selection and account for variations observed in a person's biometric data. This approach allows the identification of different template groupings, taking into account the heart rate variability, and the removal of outliers due to noise artifacts. Experimental evaluation on real world data demonstrates the advantages of our approach.
Peer review: yes
URI: http://hdl.handle.net/10400.21/4797
ISSN: 978-1-4799-2921-4
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6860081&openedRefinements%3D*%26pageNumber%3D8%26rowsPerPage%3D100%26queryText%3Dbiometrics
Aparece nas colecções:ISEL - Eng. Elect. Tel. Comp. - Comunicações

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