Computer Science > Computer Vision and Pattern Recognition
This paper has been withdrawn by Pawel Drozdowski
[Submitted on 15 Jun 2021 (v1), last revised 30 Jun 2021 (this version, v3)]
Title:Demographic Fairness in Face Identification: The Watchlist Imbalance Effect
No PDF available, click to view other formatsAbstract:Recently, different researchers have found that the gallery composition of a face database can induce performance differentials to facial identification systems in which a probe image is compared against up to all stored reference images to reach a biometric decision. This negative effect is referred to as "watchlist imbalance effect". In this work, we present a method to theoretically estimate said effect for a biometric identification system given its verification performance across demographic groups and the composition of the used gallery. Further, we report results for identification experiments on differently composed demographic subsets, i.e. females and males, of the public academic MORPH database using the open-source ArcFace face recognition system. It is shown that the database composition has a huge impact on performance differentials in biometric identification systems, even if performance differentials are less pronounced in the verification scenario. This study represents the first detailed analysis of the watchlist imbalance effect which is expected to be of high interest for future research in the field of facial recognition.
Submission history
From: Pawel Drozdowski [view email][v1] Tue, 15 Jun 2021 11:09:06 UTC (494 KB)
[v2] Wed, 16 Jun 2021 07:45:48 UTC (485 KB)
[v3] Wed, 30 Jun 2021 07:20:20 UTC (1 KB) (withdrawn)
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