Name
Abstract | ||
|---|---|---|
Over the past few years, the evaluation of Electrocardiographic (ECG) signals as a prospective biometric modality has revealed promising results. Given the vital and continuous nature of this information source, ECG signals offer several advantages to the field of biometrics; yet, several challenges currently prevent the ECG from being adopted as a biometric modality in operational settings. These arise partially due to ECG signal's clinical tradition and intrusiveness, but also from the lack of evidence on the permanence of the ECG templates over time. The problem of intrusiveness has been recently overcome with the "off-the-person" approach for capturing ECG signals. In this paper we provide an evaluation of the permanence of ECG signals collected at the fingers, with respect to the biometric authentication performance. Our experimental results on a small dataset suggest that further research is necessary to account for and understand sources of variability found in some subjects. Despite these limitations, "off-the-person" ECG appears to be a viable trait for multi-biometric or standalone biometrics, low user throughput, real-world scenarios. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/BTAS.2013.6712689 | 2013 IEEE SIXTH INTERNATIONAL CONFERENCE ON BIOMETRICS: THEORY, APPLICATIONS AND SYSTEMS (BTAS) |
Field | DocType | Citations |
Authentication,Biometrics access control,Computer science,Usability,Speech recognition,Biometrics,Throughput | Conference | 24 |
PageRank | References | Authors |
1.10 | 14 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hugo Plácido da Silva | 1 | 68 | 8.87 |
| Ana L. N. Fred | 2 | 1317 | 195.30 |
| André Lourenço | 3 | 312 | 45.33 |
| Anil Jain | 4 | 33507 | 3334.84 |