Abstract—In this paper, an initiative passive continuous authentication (CA) system based on soft biometrics is presented. Human facial features are used as hard biometric information for the authentication process is employed as the soft biometric information. The passive CA system keeps verifying, without interrupting the user from concentrating on his work. It also provides the capacity for the machine to recognize who is in front of the terminal, reduces the potential security leaks, and denies access to the invader with the stolen account and password. In this system, the face recognition core is implemented not only by the Eigenface method, but also assisted by the interactive artificial bee colony optimization algorithm. The proposed method is implemented by bee colony algorithm.
In this paper, an effective CA system by combining the techniques in swarm intelligence, face recognition, image or video processing, and pattern recognition is presented. It aims at automatically overcoming the disadvantage mentioned above by the biometric features without interrupting the user from his work.
Face Recognition The proposed passive CA system architecture aims to provide the protection of the computer system. Hence, the whole system is based on software. In this design, the system contains six major modules: the face detection module, the face recognition module, and the soft biometric recognition module.