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|Title:||Audio-Visual Identity Verification and Robustness to Imposture||Authors:||Karam, Walid
|Affiliations:||Department of Computer Engineering
Department of Electrical Engineering
Department of Mathematics
Biometric verification robustness
|Issue Date:||2009||Part of:||M. Tistarelli, M. Nixon (Eds), Advances in biometrics. Switzerland: Springer.||Start page:||796||End page:||805||Conference:||IEEE International Conference on Biometrics (ICB 2009) (3rd : 2-5 June 2009 : Alghero, Italy)||Abstract:||
The robustness of talking-face identity verification (IV) systems is best evaluated by monitoring their behavior under impostor attacks. We propose a scenario where the impostor uses a still face picture and a sample of speech of the genuine client to transform his/her speech and visual appearance into that of the target client. We propose MixTrans, an original text-independent technique for voice transformation in the cepstral domain, which allows a transformed audio signal to be estimated and reconstructed in the temporal domain. We also propose a face transformation technique that allows a frontal face image of a client to be animated, using principal warps to deform defined MPEG-4 facial feature points based on determined facial animation parameters. The robustness of the talking-face IV system is evaluated under these attacks. Results on the BANCA talking-face database clearly show that such attacks represent a serious challenge and a security threat to IV systems.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/407||Ezproxy URL:||Link to full text||Type:||Conference Paper|
|Appears in Collections:||Department of Computer Engineering|
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