Proceedings of the International Conference on Smart Innovations in Electrical Engineering (ICSIEE 2025)

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Secure ATM Authentication System Using Eye-Blink Recognition and Multi-Factor Authentication

Authors
K. Y. Namitha1, B. R. Gagana1, *, B. K. Harshitha1, B. R. Rashmi2, R. Ashwini1
1Assistant Professor, Department of Information Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore, India
2Assistant Professor, Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, India
*Corresponding author. Email: gaganabr.12@gmail.com
Corresponding Author
B. R. Gagana
Available Online 22 October 2025.
DOI
10.2991/978-94-6463-870-7_8How to use a DOI?
Keywords
Machine learning; Artificial Intelligence; Facial Recognition Algorithms; Computer vision; OTP Login; Eye blink recognition
Abstract

Personal Identification Numbers (PINs) are the structure blocks of contemporary security systems, but conventional means of inputting them—typing on physical or virtual keypads—leave users exposed to serious threats. Systems such as shoulder surfing (in which attackers visually monitor PIN input) and thermal tracking (which finds heat residues left on screens) undermine even the most watchful users. For countering such faintness, introduce a new hands-free verification scheme that alternatives the admission of PINs with eye-blink shapes. Using online eye-tracking technology, the system arrests blinks as input signals with no animal traces of Pins. This method is joint with facial recognition for self-authentication and an email-based One-Time Password (OTP), making a multi-factor defense against illegal admission. The result is a secure, suitable verification process that exploits user confidentiality without cooperating convenience.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Smart Innovations in Electrical Engineering (ICSIEE 2025)
Series
Advances in Engineering Research
Publication Date
22 October 2025
ISBN
978-94-6463-870-7
ISSN
2352-5401
DOI
10.2991/978-94-6463-870-7_8How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - K. Y. Namitha
AU  - B. R. Gagana
AU  - B. K. Harshitha
AU  - B. R. Rashmi
AU  - R. Ashwini
PY  - 2025
DA  - 2025/10/22
TI  - Secure ATM Authentication System Using Eye-Blink Recognition and Multi-Factor Authentication
BT  - Proceedings of the International Conference on Smart Innovations in Electrical Engineering (ICSIEE 2025)
PB  - Atlantis Press
SP  - 65
EP  - 75
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-870-7_8
DO  - 10.2991/978-94-6463-870-7_8
ID  - Namitha2025
ER  -