Name
Abstract | ||
|---|---|---|
In this paper, we propose a novel approach using the morphological properties of the R-R segments in an ECG signal for biometric authentication. The authenticity of a given R-R segment is decided by comparing it to a matching R-R segment morphologically synthesized from a model characterizing the identity to be authenticated. The morphological synthesis process uses a set of R-R segments (templates), recorded during enrolment at different heart-rates, and a time alignment algorithm. This ensures the authentication to be independent of the, usually variable, heart-rate. The optimum average equal-error-rate obtained in our experiments is 2%. |
Year | Venue | Field |
|---|---|---|
2007 | European Signal Processing Conference | Signal processing,Authentication,Pattern recognition,Computer science,Interpolation,Speech recognition,Time alignment,Artificial intelligence,Template,Biometrics,Signal processing algorithms |
DocType | ISBN | Citations |
Conference | 978-839-2134-04-6 | 11 |
PageRank | References | Authors |
0.69 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gary Garcia Molina | 1 | 11 | 0.69 |
| Fons Bruekers | 2 | 97 | 10.95 |
| Cristian Presura | 3 | 11 | 0.69 |
| Marijn Damstra | 4 | 11 | 0.69 |
| Michiel Van Der Veen | 5 | 214 | 20.06 |