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Impact of Doppelgängers on Face Recognition: Database and Evaluation
BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group
Look-alikes, a.k.a. doppelgängers, increase the probability of false matches in a facial recognition system, in contrast to random face image pairs selected for non-mated comparison trials. In order to analyse and improve the robustness of automated face recognition, datasets of doppelgänger face image pairs are needed. ...