Publikationen

Autor	Henniger, Olaf; Fu, Biying; Chen, Cong
Datum	2022
Art	Conference Paper
Abstrakt	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.
Konferenz	Gesellschaft für Informatik, Special Interest Group on Biometrics (BIOSIG International Conference) 2022
ISBN	978-3-88579-723-4
Publisher	Gesellschaft für Informatik
Projekt	Next Generation Biometric Systems
Url	https://publica.fraunhofer.de/handle/publica/427521

Utility-based performance evaluation of biometric sample quality assessment algorithms