Morse Code Based Authentication System


  • Chandrashekhar
  • Charan G R
  • Jeevan M M
  • Jhenkar H G
  • Shyam Sundar Bhushan


Morse code, Face recognition, Pin Entry, Eye Blinks, AI.


Face recognition has been one of the most exciting and essential research disciplines in the last two decades. Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to tackle analytically challenging issues. In this project, we'll go over general ideas and structures of recognition, important issues and factors of human faces, critical techniques and algorithms. PINs (Personal Identification Numbers) are commonly used for user identification and security. PIN-based password authentication requires users to enter a physical PIN, which might be vulnerable to password cracking or hacking. This model contains a real-time programme for gaze-based PIN entering, eye detection and tracking, and a smart camera for Morse code PIN identification. We presented a security solution with two features: one is PIN authentication utilising eye blinks PIN entry with Morse code, and the other is giving a safer password entry option. Bottom of Form Eye blinks-based authentication is the process of determining the eye blinks using Morse code, in which numbers are represented in points and dashes, and then using that information to create the password and PIN. The goal of this project is to improve traditional PIN input by incorporating eye-blink based PIN entry with Morse code to add an extra layer of protection.


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How to Cite

Chandrashekhar, Charan G R, Jeevan M M, Jhenkar H G, & Shyam Sundar Bhushan. (2022). Morse Code Based Authentication System. International Journal of Progressive Research in Science and Engineering, 3(6), 84–88. Retrieved from