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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
