Influence of Test Protocols on Biometric Recognition Performance Estimation
Zusammenfassung
The performance of a biometric system is commonly evaluated by the obtained recognition rates and comparing the results against the ones reported in the literature on the same database. An aspect that has not received the deserved attention in the literature concerns the influence, on the achieved rates, of the test protocol employed to select the enrol and probe data. We provide a detailed analysis of the impact of the experimental choices on the estimated performance, considering the recommendations provided by ISO/IEC 19795 standard. We use the UTFVP finger vein database, reproducing results presented in the literature using multiple protocols. Our experiments highlight the possibility of obtaining equal error rates reduced by half simply by changing the test protocol.
- Vollständige Referenz
- BibTeX
Eglitis, T., Maiorana, E. & Campisi, P.,
(2021).
Influence of Test Protocols on Biometric Recognition Performance Estimation.
In:
Brömme, A., Busch, C., Damer, N., Dantcheva, A., Gomez-Barrero, M., Raja, K., Rathgeb, C., Sequeira, A. & Uhl, A.
(Hrsg.),
BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group.
Bonn:
Gesellschaft für Informatik e.V..
(S. 237-244).
@inproceedings{mci/Eglitis2021,
author = {Eglitis, Teodors AND Maiorana, Emanuele AND Campisi, Patrizio},
title = {Influence of Test Protocols on Biometric Recognition Performance Estimation},
booktitle = {BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group},
year = {2021},
editor = {Brömme, Arslan AND Busch, Christoph AND Damer, Naser AND Dantcheva, Antitza AND Gomez-Barrero, Marta AND Raja, Kiran AND Rathgeb, Christian AND Sequeira, Ana AND Uhl, Andreas} ,
pages = { 237-244 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Eglitis, Teodors AND Maiorana, Emanuele AND Campisi, Patrizio},
title = {Influence of Test Protocols on Biometric Recognition Performance Estimation},
booktitle = {BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group},
year = {2021},
editor = {Brömme, Arslan AND Busch, Christoph AND Damer, Naser AND Dantcheva, Antitza AND Gomez-Barrero, Marta AND Raja, Kiran AND Rathgeb, Christian AND Sequeira, Ana AND Uhl, Andreas} ,
pages = { 237-244 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
| Dateien | Groesse | Format | Anzeige | |
|---|---|---|---|---|
| biosig2021_proceedings_25.pdf | 215.0Kb | Öffnen |
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Mehr Information
ISBN: 978-3-88579-709-8
ISSN: 1617-5468
Datum: 2021
Sprache:
(en)
(en)
Typ: Text/Conference Paper

