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Utility-based performance evaluation of biometric sample quality assessment algorithms

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Text/Conference Paper
Datum
2022
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Quelle
BIOSIG 2022
Regular Research Papers
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
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.
Beschreibung
Olaf Henniger, Biying Fu and Cong Chen (2022): Utility-based performance evaluation of biometric sample quality assessment algorithms. BIOSIG 2022. DOI: 10.1109/BIOSIG55365.2022.9897037. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5478. ISBN: 978-3-88579-723-4. pp. 112-121. Regular Research Papers. Darmstadt. 14.-16. September 2022
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