Facial image manipulation in the context of electronic ID documents is a concrete security threat, confirmed by several real cases reported by the authorities of different countries. Such manipulations have a negative impact on the automated face recognition accuracy and should therefore be identified before the altered image is included in the document. This study reports and discusses the result of a test carried out on human examiners to evaluate their ability in detecting digital manipulations of facial images.

Franco Annalisa, L.F. (2023). On the Human Ability in Detecting Digitally Manipulated Face Images. New York : IEEE [10.1109/MetroXRAINE58569.2023.10405682].

On the Human Ability in Detecting Digitally Manipulated Face Images

Franco Annalisa
Primo
;
Maltoni Davide
Ultimo
2023

Abstract

Facial image manipulation in the context of electronic ID documents is a concrete security threat, confirmed by several real cases reported by the authorities of different countries. Such manipulations have a negative impact on the automated face recognition accuracy and should therefore be identified before the altered image is included in the document. This study reports and discusses the result of a test carried out on human examiners to evaluate their ability in detecting digital manipulations of facial images.
2023
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
531
536
Franco Annalisa, L.F. (2023). On the Human Ability in Detecting Digitally Manipulated Face Images. New York : IEEE [10.1109/MetroXRAINE58569.2023.10405682].
Franco Annalisa, Løvåsdal Frøy, Maltoni Davide
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/957273
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