An access control system for e-learning management systems

• Autorzy: Irfan A. C.M. , Takuya K. , Nomura S. , Yoshimi F.
• Języki publikacji: EN

Abstrakty

EN

Knowledge is a key factor to the personal success. The certifications are the instant tools that are commonly available to assess the personal success. In an e-Learning environment, where the learning projects are delivered with the aim to provide a professional or an academic certification, it is integral that the Learning Management Systems provide security features that will ensure the credibility of the online real-time assessments and the certification. In a conventional examination environment, there will be invigilators to overlook the examinees, on the contrary, in an on-line examination environment; it is vital that an invigilation mechanism is implemented to ensure the integrity of the examination. In this article we present a face based access control system for online e-Learning systems.

Słowa kluczowe

EN

biometrics; e-learning; face identification

PL

biometria; nauczanie na odległość

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2009
• Tom: Vol. 13
• Strony: 41--46
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Irfan A. C.M.

• Nagaoka University of Technology, Nagaoka, Japan

autor

Takuya K.

autor

Nomura S.

autor

Yoshimi F.

Bibliografia

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• [4] MICHAEL OREN, CONSTANTINE PAPAGEORGIOU, PAWAN SINHA, EDGAR OSUNA, TOMASO POGGIO, Pedestrian Detection Using Wavelet Templates, Computer Vision and Pattern Recognition, Proceedings., 1997 IEEE Computer Society Conference on Volume, Issue, 17-19 Jun 1997 pp:193 – 199, 1997.
• [5] CONSTANTINE PAPAGEORGIOU, THEODOROS EVGENIOU, TOMASO POGGIO, Object and Pattern Detection in Video Sequence, Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
• [6] PAUL VIOLA, MICHAEL JONES, Rapid Object Detection Using Boosted Cascade of Simple Features, Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the IEEE Computer Society Conference on Volume: 1, pp: I-511-I-18, 2001
• [7] FRANKLIN C. CROW, Summed-area tables for texture mapping, Proceedings of the 11th annual conference on Computer graphics and interactive techniques, pp: 207 – 212, 1984.
• [8] C. SANDERSON AND K. K. PALIWAL, “Fast feature extraction method for robust face verification,” Electronics Letters, vol. 38, no. 25, pp. 1648–1650, 2002.