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Face recognition technique has been widely applied to personal identification systems due to its satisfying performance. However, its security may be a crucial issue, since many studies have shown that face recognition systems may be vulnerable in an adversarial environment, in which an adversary can camouflage as a legitimate user in order to mislead the system. Although face liveness detection methods...
The spoofing attack, in which the attacker disguises himself or herself as an authenticated user by showing the user's photographs or video clips before the camera, is a common adversarial attack in face recognition. To ensure the security of the system, face liveness detection is carried out to distinguish the images captured from a live face from those from a forged face. In this paper, we propose...
Radio frequency identification (RFID) technology has been widely adopted in access control system. However, the people holding the RFID card passing through the access control may not be the authorized one. Therefore, an access control system combining RFID technology and face recognition based on neural network is presented in this work. The system recognizes the face of the person holding the RFID...
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