AN EFFICIENT METHOD FOR EYE TRACKING BY PASSWORD VERIFICATION

Authors

  • Kamal Raj T
  • Yashaswini R
  • Ranjitha B M
  • Sumanth D
  • Varshitha N

Keywords:

iris tracing; detection of pupil; real-time eye detection; image processing; smart camera.

Abstract

Individual Identification numbers are generally utilized for client verification and security. Secret key verification utilizing PINs expects clients to genuinely include the PIN, which could be frail against mystery word breaking by methods for acquiring individual or private or warm area. Individual range affirmation with tolerant look based range zone methodsgives up no consistent impressions and consequently offers a dynamically protected riddle state segment choice. Look based verification alludes to finding the consideration area across consecutive picture edges, and following eye community after some time. Eye following is accomplished by distinguishing a similar eye includes over various picture outlines and connecting them to a specific eye. The estimations are pursued for eye affirmation including various motivations behind the face district, eye development quickly moving, and iris snags to pick their comfort for the notable applications. Eye-stare identification has been generally explored and introduced. The eye can't move as quickly as 30 movements for every second. This prompted proposing an upgrade to the eye tracking framework being introduced. Picture preparing game plan isolates the iris and learns the specific community for an eye, in this way conveying controlled signs with the assistance of a reference place. The signs are controlled at that point utilized with a situation of a mechanized stage through wise camera. This upgrade improved the CPU handling time prerequisites. This presents a paper with a consistent application for look based range passage, and eye attestation to follow the range seeing verification using a sensible camera.

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References

. S. Milekic, “The more you look the more you get: Intention-based interface using gaze-tracking,” in Trant, J.(Des.) Museums and the Web2002: Selected Papers from an Int. Conf., Archives and Museum Informatics, (2002), pp. 1–27.

. J. Orozco, F. X. Roca, and J. Gonzàlez, “Real-time gaze tracking with appearance-based models,” Machine Vision and Applications, 20(6): 353-364, (2009).

. S. Fleck, S. Lanwer, and W. Straßer, “A smart camera approach to realtime tracking,” 13th European Signal Processing Conference (2005).

. Aji Joy, Ajith P Somaraj, Amal Joe, Muhammed Shafi, Nidheesh T M, “Ball Tracking Robot Using Image Processing and Range Detection”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 2, Issue 3, March (2014).

. A. Villanuev, R. Cabeza, and S. Porta, “Gaze tracking system model based on physical parameters,” International Journal of Pattern Recognition and Artificial Intelligence, 21(5), (2007).

. “ATM Fraud, ATM Black Box Attacks Spread Across Europe”, European ATM Security Team (E.A.S.T.), online, posted 11 April (2017).

. K. Mowery, S. Meiklejohn and S. Savage, “Heat of the Moment: Characterizing the Efficacy of Thermal Camera-Based Attacks,” WOOT ‟11, pp. 1-8, August (2011). [8]. M. Mehrubeoglu, E. Ortlieb, L. McLauchlan, L. M. Pham, “Capturing reading patterns through a real-time smart camera iris tracking system,” Proc. SPIE, vol. 8437, id. 843705, (2012).

. R. Revathy and R. Bama, “Advanced Safe PIN-Entry Against Human Shoulder- Surfing,” IOSR Journal of Computer Engineering, vol 17, issue 4, ver. II, pp. 9-15, July-Aug. (2015).

. J. Weaver, K. Mock and B. Hoanca, “Gaze-Based Password Authentication through Automatic Clustering of Gaze Points,” Proc. 2011 IEEE Conf. on Systems, Man and Cybernetics, Oct. (2011).

. M. Mehrübeoglu, H. T. Bui and L. McLauchlan, “Real-time iris tracking with a smart camera,” Proc. SPIE 7871, 787104, (2011).

. M. Mehrubeoglu, L. M. Pham, H. T. Le, M. Ramchander, and D. Ryu, “Real- time eye tracking using a smart camera,” Proc. 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR „11), pp. 1-7, (2011).

. T. Ohno, “One-Point Calibration Gaze Tracking Method,” in Proceedings of the Symposium on Eye Tracking Research and Applications, pp. 34-34, (2006).

. D. Hansen and Q. Ji, “In the Eye of the Beholder: A Survey of Models for Eyes and Gaze,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, no. 3, pp. 478-500, (2010).

. Betul Sahin, Barbara Lamory, Xavier Levecq, Fabrice Harms and Chris Dainty, “Adaptive optics with pupil tracking for high resolution retinal imaging”, 1 February (2012) / Vol. 3, No. 2 / BIOMEDICAL OPTICS EXPRESS 225.

. J.A. Nagel, C. Kutschker, C. Beck, U. Gengenbach, H. Guth, G. Bretthauer, “Comparison of different algorithms for robust detection of pupils in real-time eye tracking experiments.”, Biomed Tech 2013; 58 (Suppl. 1) © (2013) by Walter de Gruyter, Berlin.

. C. Mauri and T. Granollers, “Computer vision Interaction for People with Severe Movemtn Restrictions,” Human Technology, 2(1), pp. 3854, April (2006). [18]. W. Haibo, X. Chengqi, L. Qing, “The Eye Movement Experiment and the Usability Evaluation of the Fighter Cockpit Digital Interface,” 2nd International Conf. Information Engineering and Computer Science (ICIECS), pp. 1-4, (2010). (10.1109/ICIECS.2010.5678205).

. Q. Li, L. Sun and J. Duan, “Web Page Viewing Behaviorof Users: An Eye- Tracking Study,” Proc. of ICSSSM '05, International Conf. on Services Systems and Services Management, pp. 244-249, (2005).

. W. Lu, M. Li, S. Lu, Y. Song, J. Yin, and N. Zhong , “Impact of Information Overload for Visual Search on Web Pages: An Eye-tracking Study,” Proc. 2010 IEEE/ICME International Conference on Complex Medical Engineering, July 13-15, (2010), Gold Coast, Australia.

. Ziad O. Abu-Faraj, Maya J. Mashaalany, Habib C. Bou Sleiman, Jean-Louis D. Heneine, and Waleed M. Al Katergi,“Design and Development of a Low-Cost Eye Tracking System for the Rehabilitation of the Completely Locked-In Patient” Proceedings of the 28th IEEE EMBS Annual International Conference New York City, USA, Aug 30-Sept 3, (2006).

. Chern-Sheng Lin, Chien-Wa Ho, Wen-Chen Chen, Chuang-Chien Chiu, Mau- Shiun Yeh, ”Powered wheelchair controlled by eyetracking system,” Optica Applicata (2006)(Vol.36), No.2-3, pp. 401412.

. Andrew T. Dchowski, “A breadth-first survey of eye-tracking applications”, Behavior Research Methods, Instruments, & Computers (2002), 34 (4), 455-470.

. D. H. Yoo and M. J. Chung, “A Novel Nonintrusive Eye Gaze Estimation Using Cross-Ratio Under Large Head Motion,” Comput. Vis. Image Understand, Special Issue on Eye Detection and Tracking, vol. 98, no. 1, pp. 25-51, (2005).

. J. Gao, S. Zhang and W. Lu, “Application of Hough Transform in Eye Tracking and Targeting,” 9th International Conference on Electronic Measurement & Instruments, (ICEMI'09), pp. 751-754, (2009).

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Published

2021-06-30

How to Cite

T, K. R. ., R, Y. ., B M, R. ., D, S. ., & N, V. . (2021). AN EFFICIENT METHOD FOR EYE TRACKING BY PASSWORD VERIFICATION. The Journal of Contemporary Issues in Business and Government, 27(3), 1628–1642. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/1773