Henniger, Olaf ; Fu, Biying ; Chen, Cong
Hrsg.: Gesellschaft für Informatik e.V. (2022)
Utility-based performance evaluation of biometric sample quality assessment algorithms.
21st International Conference of the Biometrics Special Interest Group. Darmstadt, Germany (14.-16.09.2022)
doi: 10.1109/BIOSIG55365.2022.9897037
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The quality score of a biometric sample is expected to predict the sample’s utility, but a universally valid definition of utility is missing. A harmonized definition of utility would be useful to facilitate the comparison of biometric sample quality assessment algorithms. This paper generalizes the utility of a biometric sample as normalized difference between the means of non-mated and mated comparison scores with respect to this sample. Using a face image data set, we show that discarding samples with low utility scores determined in this way results in a rapidly declining false non-match rate. The obtained utility scores can be used as ground-truth utility labels for training biometric sample quality assessment algorithms and for summarizing their prediction performance in a single plot and in a single Figure of merit based on the proposed utility score definition.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Henniger, Olaf ; Fu, Biying ; Chen, Cong |
| Art des Eintrags: | Bibliographie |
| Titel: | Utility-based performance evaluation of biometric sample quality assessment algorithms |
| Sprache: | Englisch |
| Publikationsjahr: | 27 September 2022 |
| Verlag: | Gesellschaft für Informatik e.V. |
| Buchtitel: | BIOSIG 2022: Proceedings of the 21st International Conference of the Biometrics Special Interest Group |
| Reihe: | Lecture Notes in Informatics |
| Band einer Reihe: | P329 |
| Veranstaltungstitel: | 21st International Conference of the Biometrics Special Interest Group |
| Veranstaltungsort: | Darmstadt, Germany |
| Veranstaltungsdatum: | 14.-16.09.2022 |
| DOI: | 10.1109/BIOSIG55365.2022.9897037 |
| Kurzbeschreibung (Abstract): | The quality score of a biometric sample is expected to predict the sample’s utility, but a universally valid definition of utility is missing. A harmonized definition of utility would be useful to facilitate the comparison of biometric sample quality assessment algorithms. This paper generalizes the utility of a biometric sample as normalized difference between the means of non-mated and mated comparison scores with respect to this sample. Using a face image data set, we show that discarding samples with low utility scores determined in this way results in a rapidly declining false non-match rate. The obtained utility scores can be used as ground-truth utility labels for training biometric sample quality assessment algorithms and for summarizing their prediction performance in a single plot and in a single Figure of merit based on the proposed utility score definition. |
| Freie Schlagworte: | Biometrics, Quality estimation, Performance evaluation, Ground truth |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 07 Nov 2022 14:59 |
| Letzte Änderung: | 23 Mär 2023 08:09 |
| PPN: | 506239152 |
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