International Journal of Intelligent Systems and Applications(IJISA)
ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)
Published By: MECS Press
IJISA Vol.5, No.10, Sep. 2013
An Intelligent Alarm Based Visual Eye Tracking Algorithm for Cheating Free Examination System
Full Text (PDF, 391KB), PP.86-92
A modern and well established education system is a backbone of any nation’s success. High reputation in international platform can only be achieved when best and deserving students represent your country and earn reputation on their ability and dedication. For this purpose an education system must be a cheating free system so that non-deserving students should not get the positions which they don’t deserve. This research aims to develop such a system which can be used in exam halls to avoid the cheating based on student’s eye movement. The algorithm detects the human from the scene followed by the face detection and recognition. The next phase involves eye detection followed by eye's movement tracking to analyze and decide about whether the student is involved in cheating or not. The system can be used on a large scale in educational institutions as well as in corporate sector wherever exams have been conducted.
Cite This Paper
Ali Javed, Zeeshan Aslam,"An Intelligent Alarm Based Visual Eye Tracking Algorithm for Cheating Free Examination System", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.10, pp.86-92, 2013.DOI: 10.5815/ijisa.2013.10.11
Martinez, Recognizing imprecisely localized, partially included, and expression variant faces from a single sample per class, PAMI, IEEE Transactions on 24 (2002), no. 6, 748–763.
P.J. Phillips, Hyeonjoon Moon, S.A. Rizvi, and P.J. Rauss, The feret evaluation methodology for face-recognition algorithms, IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (2000), no. 10, 1090–1104.
Xiaoyun Deng, Chip-Hong Chang, Erwin “A New Method for Eye Extraction from Facial Image“, IEEE International Workshop on Electronic Design, Test and Applications 2004
Wen-Tao Wang, Chao Xu, Hong-Wei Shen, “EYE LOCALIZATION BASED ON HUE IMAGE PROCESSING”, IEEE International Symposium on Intelligent Signal Processing and Communication Systems, Nov.28-Dec.1, 2007.
Xiao Yun Deng, Chip-Hong Chang, Erwin Brandle, “A new method for eye extraction from facial image”, IEEE International Workshop on Electronic Design, Test and Applications, pp. 29-34, Jan 2004.
Ba Linh NGUYEN, “Eye Gaze Tracking”, IEEE, vol. 2, 2009.
Wei-Min Zheng, Zhe-Ming Lu, Xiu-Na Xu, “A Novel Skin Clustering Method for Face Detection”, First International Conference on Innovative Computing, Information and Control, 2006 Page(s):166 - 169 Vol.
J. Hori, K. Sakano, Y. Saitoh, “Development of Communication Supporting Device Controlled by Eye Movements and Voluntary Eye Blink”, Proceedings of the 26th Annual International Conference of the IEEE EMBS San Francisco, CA, USA • September 1-5, 2004
Kin Choong and Robert Cipoola, “Feature Based human face detection”, August 1996.
Pawan Sinha, Benjamin Balas, Yuri Ostrovsky, and Richard Russell, “Face Recognition by Humans Nineteen Results All Computer Vision Researchers Should Know About”, Proceedings of the IEEE | Vol. 94, No. 11, November 2006.
Michael Chau and Margrit Betke, “Real Time Eye Tracking and Blink Detection with USB Cameras”, Boston University Computer Science Technical Report No. 2005-12, may 2005.
Wolf Kienzle, Felix A. Wichmann, Bernhard Scholkopf, and Matthias O. Franz, “Learning an Interest Operator from Human Eye Movements”, Max-Planck Institute for Biological Cybernetics, Spemannstr. 38 72076 Tubingen, Germany.
Kah-Kay and Tomaso, “Example-Based Learning for View-Based Human Face Detection”, IEEE transaction on pattern analysis and machine intelligence, VOL 20, January 1998.
Andras Roka, Adam Csapo, Barna Resko, Peter Baranyi, “Edge Detection Model Based on Involuntary Eye Movements of the Eye-Retina System”, Acta Polytechnical Hungarica, Vol. 4, No. 1, 2007.
Ted Selker, Andrea Lockerd and Jorge Martinez, “Eye-R, a Glasses-Mounted Eye Motion Detection Interface”, Interactive Posters, MARCH- 5 APR-Il., CHI 2001.
A. Blake, R. Curwen, A. Zisserman, A framework for spatio-temporal control in the tracking of visual contours, Int. J. Computer. Vis. 11 (2) (1993) 127–145
Jones, M.J. "Pedestrian detection using boosted features over many frames" Top of Form Bottom of Form Pattern Recognition, 2008. ICPR 2008.19th International Conference on Mitsubishi Electr.
Jun Tang “A color image segmentation algorithm based on region growing", 2nd International Conference on Computer Engineering and Technology (ICCET), 2010