Real Time Eye Blink Password Authentication

Authors

  • Aravinda Thejas Chandra Associate professor, Department of Information Science and Engineering, S. J. C. Institute of Technology, Chikkaballapur, India
  • G. Sneha Student, Department of Information Science and Engineering, S. J. C. Institute of Technology, Chikkaballapur, India
  • Srushti Anand Student, Department of Information Science and Engineering, S. J. C. Institute of Technology, Chikkaballapur, India
  • C. Yashaswini Student, Department of Information Science and Engineering, S. J. C. Institute of Technology, Chikkaballapur, India

Keywords:

Shoulder surfing, Thermal tracking, Adaboost training, Cascading classifier

Abstract

Personal identity numbers are extensively used for consumer authentication and safety. Password verification the use of PINs calls for customers to go into a bodily PIN, which may be liable to password breakage or hacking through shoulder surfing or thermal tracking. PIN authentication with hands-off eye blinks PIN access strategies, on the opposite hand, leaves no bodily footprints in the back of and consequently gives an extra stable password access option. Eye blinks primarily based totally authentication refers to locating the eye blinks throughout sequential image frames, and generating the PIN. This task affords a real-time software we integrate eye blink primarily based PIN entry, and face detection and OTP (One Time Password) to keep away from shoulder surfing and thermal tracking attacks.

Downloads

Download data is not yet available.

Downloads

Published

25-07-2021

Issue

Section

Articles

How to Cite

[1]
A. T. Chandra, G. Sneha, S. Anand, and C. Yashaswini, “Real Time Eye Blink Password Authentication”, IJRESM, vol. 4, no. 7, pp. 304–306, Jul. 2021, Accessed: Nov. 03, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/1080