Password Authentication Using Gaze Based Eye Tracking

Authors

  • Srikanth M S  Assistant Professor, Department of Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Dr Jitendranath Mungara  Principal & Prof, Department of Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Monisha N  B.E, Student, Department of Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Pramod C R  B.E, Student, Department of Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Roopika T C  B.E, Student, Department of Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Vinod B S  B.E, Student, Department of Information Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India

Keywords:

Haar cascade algorithm, Facial Landmark Algorithm

Abstract

'Password Authentication Using Gaze Based Eye Tracking' is a system used for eye(retina) tracking using Haar cascade algorithm, Facial Landmark Algorithm. used for password authentication. A mounted camera will track eye movement and by eye movement and eye blinks it calculates gaze ratio and blinking ratio which are two mains to lock and unlock the system, this is aimed to make the system highly securable and to avoid cybercrimes like shoulder surfing or thermal tracking.

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International Journal of Scientific Research in Science and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

License

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Srikanth M S, Dr Jitendranath Mungara, Monisha N, Pramod C R, Roopika T C, Vinod B S "Password Authentication Using Gaze Based Eye Tracking" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.188-192, May-June-2021.