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Image password lock system by tracing position information of the pupil

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Języki publikacji
EN
Abstrakty
EN
In this paper, a new method for an improved image password lock system by tracing position information of the pupil is described. The present technology relates to an efficient auto-detecting function, and in particular, to an image password lock system, which can provide the benefits of a novel password input mode without any contact. In this system, a PC camera device detects a movable target object to read a dynamic eye image data. Moreover, the dynamic eye image data has a predetermined shooting range set to be a whole-region image, and the whole-region image has a central region and a plurality of specific password regions. A target eye image is displayed by a display device, and then processed by an image processing device, thereby calculating a center coordinate point of the target eye image in the dynamic image data, compiling a password constituted by a movement position of the target object image, displaying the password, and validating the password. Therefore, the benefits of a novel password input mode without any contact, an efficient anti-theft function, are provided.
Czasopismo
Rocznik
Strony
149--160
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
autor
autor
autor
autor
autor
  • Department of Automatic Control Engineering, Feng Chia University. Taichung, Taiwan
Bibliografia
  • [1] LIN C.S., HUAN C.C., CHAN C.N., YEH M.S., CHIU C.C., Design of a computer game using an eyetracking device for eye’s activity rehabilitation, Optics and Lasers in Engineering 42(1), 2004, pp. 91–108.
  • [2] LIN C.S., An eye behavior measuring device for VR system, Optics and Lasers in Engineering 38(6), 2002, pp. 333–359.
  • [3] LIN C.S., SHI T.H., LIN C.H., YEH M.S. SHEI H.J., The measurement of the angle of a user’s head in a novel head-tracker device, Measurement 39(8), 2006, pp. 750–757.
  • [4] PASTOOR S., LIU J., RENAULT S., An experimental multimedia system allowing 3-D visualization and eye-controlling interaction without user-worn device, IEEE Transactions on Multimedia 1(1), 1999, pp. 41–52.
  • [5] LIN C.S., HO C.W., CHEN W.C., CHIU C.C., YEH M.S., Powered wheelchair controlled by eye-tracking system, Optica Applicata 36(2–3), 2006, pp. 401–412.
  • [6] LIN C.S., LIN C.H., LAY Y.L., YEH M.S., CHANG H.C., Eye-controlled virtual keyboard using a new coordinate transformation of long and narrow region, Optica Applicata 38(2), 2008, pp. 481–489.
  • [7] LIN C.S., CHIEN C.C., LIN N., CHEN C.H., The method of diagonal-box checker search for measuring one’s blink in eyeball tracking device, Optics and Laser Technology 30(5), 1998, pp. 295–301.
  • [8] LIN C.S., HO C.W., CHAN C.N., CHAU C.R., WU Y.C. YEH M.S., An eye-tracking and head-control system using movement increment-coordinate method, Optics and Laser Technology 39(6), 2007, pp. 1218–1225.
  • [9] LIN C.S., CHANG K.C., JAIN Y.J., A new data processing and calibration method for an eye-tracking device pronunciation system, Optics and Laser Technology 34(5), 2002, pp. 405–413.
  • [10] WHITE K.P., HUTCHINSON T.E., CARLEY J.M., Spatially dynamic calibration of an eye-tracking system, IEEE Transactions on Systems, Man, and Cybernetics 23(4), 1993, pp. 1162–1168.
  • [11] ALLISON R.S., EIZENMAN M., CHEUNG B.S.K., Combined head and eye tracking system for dynamic testing of the vestibular system, IEEE Transactions on Biomedical Engineering 43(11), 1996, pp. 1073–1082.
  • [12] GOLDSTEIN S.R., DAUBE-WITHERSPOON M.E., GREEN M.V., EIDSATH A., A head motion measurement system suitable for emission computed tomography, IEEE Transactions on Medical Imaging 16(1), 1997, pp. 17–27.
  • [13] TORRICELLI D., CONFORTO S., SCHMID M., D’ALESSIO T., A neural-based remote eye gaze tracker under natural head motion, Computer Methods and Programs in Biomedicine 92(1), 2008, pp. 66–78.
  • [14] LIN C.S., HO C.W., CHANG K.C., HUNG S.S., SHEI H.J. YEH M.S., A novel device for head gesture measurement system in combination with eye-controlled human-machine interface, Optics and Lasers in Engineering 44(6), 2006, pp. 597–614.
  • [15] BETKE M., GIPS J., FLEMING P., The Camera Mouse: visual tracking of body features to provide computer access for people with severe disabilities, IEEE Transactions on Neural Systems and Rehabilitation Engineering 10(1), 2002, pp. 1–10.
  • [16] CHEN Y.L., Application of tilt sensors in human-computer mouse interface for people with disabilities, IEEE Transactions on Neural Systems and Rehabilitation Engineering 9(3), 2001, pp. 289–294.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW7-0011-0014
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