A real-time security surveillance system for personal authentication

Chien, Yi-Tsung; Huang, Yea‐Shuan; Jeng, Sheng-Wen; Tasi, Yao-Hong; Zhao, Hung-Xin

doi:10.1109/ccst.2003.1297558

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…In many cases, users do not type with the keyboard very often. Chien et al propose a personal authentication system for the security surveillance system [10] based on a well-trained RBF-based neural network in 2003. They use the face feature to be the system input and train the neural network for the user identification.…”

Section: Related Workmentioning

confidence: 99%

Biometric driven initiative system for passive continuous authentication

Khan

Tsai

Pan

et al. 2011

2011 7th International Conference on Information Assurance and Security (IAS)

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In this paper, a passive continuous authentication system based on both the hard and the soft biometrics is implemented. The passive continuous authentication system keeps verifying the user without interrupting the user 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 leak of the user is temporarily absent front the terminal, and denies the invader to login the system with the stolen account and password. Our system forces to logoff the user when the authentication result identifies the user leaves his seat, but the system won't logoff the user if the user only turns his face to some other directions. The reliability of the system is verified by 7 registered users. According to the experimental results, combining the soft and the hard biometrics in our theoretical framework achieves the goal of continuous authentication efficiently and correctly.

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Section: Related Workmentioning

confidence: 99%