Memorias de investigación
Ponencias en congresos:
Fiducial ECG-Based Biometry: Comparison of Classifiers and Dimensionality Reduction Methods
Año:2019
Áreas de investigación
  • Matemáticas,
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
Biometry is becoming increasingly important in order to identify or authenticate individuals. Since the seminar work of Biel et at. in 1999 and 2001, the feasibility of using the electrocardiogram (ECG) for biometric recognition has been considered by several authors. Both fiducial methods, which are based on using fiducial points related to the detected QRS complexes, and non-fiducial methods, which do not require the extraction of the QRS complexes from the signals, have been considered. However, the feasibility of ECG-based biometry is still unclear, as the results from different studies are difficult to compare. In this paper, we concentrate on fiducial methods, comparing the performance of several classifiers and dimensionality reduction techniques on a publicly available dataset. Our results show that ECG-based biometry is indeed a feasible alternative to other widely used biometric traits.
Internacional
Si
Nombre congreso
42nd International Conference of Telecommunications and Signal Processing (TSP)
Tipo de participación
960
Lugar del congreso
Budapest, Hungría
Revisores
Si
ISBN o ISSN
978-1-7281-1864-2
DOI
10.1109/TSP.2019.8768891
Fecha inicio congreso
01/07/2019
Fecha fin congreso
03/07/2019
Desde la página
552
Hasta la página
556
Título de las actas
2019 42nd International Conference on Telecommunications and Signal Processing (TSP)
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Teoría de Aproximación Constructiva y Aplicaciones
  • Departamento: Ingeniería Audiovisual y Comunicaciones