Face recognition provides many advantages compared with other available biometrics, but it is particularly subject to spoofing. The most accurate methods in literature addressing this problem, rely on the estimation of the three-dimensionality of faces, which heavily increase the whole cost of the system. This paper proposes an effective and efficient solution to problem of face spoofing. Starting from a set of automatically located facial points, we exploit geometric invariants for detecting replay attacks. The presented results demonstrate the effectiveness and efficiency of the proposed indices.

Moving face spoofing detection via 3D projective invariants / Maria De, Marsico; Michele, Nappi; Riccio, Daniel; Jean Luc, Dugelay. - (2012), pp. 73-78. (Intervento presentato al convegno 5th IAPR International Conference on Biometrics (ICB) tenutosi a New Delhi nel 29/03-01/04/2012) [10.1109/ICB.2012.6199761].

Moving face spoofing detection via 3D projective invariants

RICCIO, Daniel;
2012

Abstract

Face recognition provides many advantages compared with other available biometrics, but it is particularly subject to spoofing. The most accurate methods in literature addressing this problem, rely on the estimation of the three-dimensionality of faces, which heavily increase the whole cost of the system. This paper proposes an effective and efficient solution to problem of face spoofing. Starting from a set of automatically located facial points, we exploit geometric invariants for detecting replay attacks. The presented results demonstrate the effectiveness and efficiency of the proposed indices.
2012
9781467303958
9781467303965
9781467303972
Moving face spoofing detection via 3D projective invariants / Maria De, Marsico; Michele, Nappi; Riccio, Daniel; Jean Luc, Dugelay. - (2012), pp. 73-78. (Intervento presentato al convegno 5th IAPR International Conference on Biometrics (ICB) tenutosi a New Delhi nel 29/03-01/04/2012) [10.1109/ICB.2012.6199761].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/567706
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