The morphing attack proved to be a serious threat for modern automated border control systems where face recognition is used to link the identity of a passenger to his/her e-document. In this paper we show that by exploiting the live face image acquired at the gate, the morphed face image stored in the document can be reverted (or demorphed) enough to reveal the identity of the legitimate document owner, thus allowing the system to issue a warning. A number of practical experiments on two datasets proves the efficacy of our approach.
Titolo: | Face Demorphing |
Autore/i: | Ferrara, Matteo; Franco, Annalisa; Maltoni, Davide |
Autore/i Unibo: | |
Anno: | 2018 |
Rivista: | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/TIFS.2017.2777340 |
Abstract: | The morphing attack proved to be a serious threat for modern automated border control systems where face recognition is used to link the identity of a passenger to his/her e-document. In this paper we show that by exploiting the live face image acquired at the gate, the morphed face image stored in the document can be reverted (or demorphed) enough to reveal the identity of the legitimate document owner, thus allowing the system to issue a warning. A number of practical experiments on two datasets proves the efficacy of our approach. |
Data stato definitivo: | 2018-01-09T12:06:30Z |
Appare nelle tipologie: | 1.01 Articolo in rivista |
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