Resisting spoofing attempts via photographs and video playbacks is a vital issue for the success of face biometrics. Yet, the "liveness" topic has only been partially studied in the past. In this paper we are suggesting a holistic liveness detection paradigm that collaborates with standard techniques in 2D face biometrics. The experiments show that many attacks are avertible via a combination of antispoofing measures. We have investigated the topic using real-time techniques and applied them to real-life spoofing scenarios in an indoor, yet uncontrolled environment.
In REF , a holistic liveness detection paradigm has been proposed for face biometric to detect spoof attacks.
Verifying liveness by multiple experts in face biometrics
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Computer Science