Utility-based performance evaluation of biometric sample quality assessment algorithms
| dc.contributor.author | Olaf Henniger, Biying Fu and Cong Chen | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Damer, Naser | |
| dc.contributor.editor | Gomez-Barrero, Marta | |
| dc.contributor.editor | Raja, Kiran | |
| dc.contributor.editor | Rathgeb, Christian | |
| dc.contributor.editor | Sequeira Ana F. | |
| dc.contributor.editor | Todisco, Massimiliano | |
| dc.contributor.editor | Uhl, Andreas | |
| dc.date.accessioned | 2022-10-27T10:19:26Z | |
| dc.date.available | 2022-10-27T10:19:26Z | |
| dc.date.issued | 2022 | |
| dc.description.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. | en |
| dc.identifier.doi | 10.1109/BIOSIG55365.2022.9897037 | |
| dc.identifier.isbn | 978-3-88579-723-4 | |
| dc.identifier.pissn | 1617-5478 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/39687 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BIOSIG 2022 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-329 | |
| dc.subject | Biometric sample quality assessment | |
| dc.subject | performance evaluation | |
| dc.subject | ground truth | |
| dc.title | Utility-based performance evaluation of biometric sample quality assessment algorithms | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 121 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 112 | |
| gi.conference.date | 14.-16. September 2022 | |
| gi.conference.location | Darmstadt | |
| gi.conference.sessiontitle | Regular Research Papers |
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