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Ear-Touch-Based Mobile User Authentication

Author

Listed:
  • Jalil Nourmohammadi Khiarak

    (Institute of Control and Computation Engineering, Warsaw University of Technology, 00-665 Warsaw, Poland)

  • Samaneh Mazaheri

    (Faculty of Business and IT, Ontario Tech University, Oshawa, ON L1H 7K4, Canada)

  • Rohollah Moosavi Tayebi

    (Faculty of Science, Ontario Tech University, Oshawa, ON L1H 7K4, Canada)

Abstract

Mobile devices have become integral to daily life, necessitating robust user authentication methods to safeguard personal information. In this study, we present a new approach to mobile user authentication utilizing ear-touch interactions. Our novel system employs an analytical algorithm to authenticate users based on features extracted from ear-touch images. We conducted extensive evaluations on a dataset comprising ear-touch images from 92 subjects, achieving an average equal error rate of 0.04, indicative of high accuracy and reliability. Our results suggest that ear-touch-based authentication is a feasible and effective method for securing mobile devices.

Suggested Citation

  • Jalil Nourmohammadi Khiarak & Samaneh Mazaheri & Rohollah Moosavi Tayebi, 2024. "Ear-Touch-Based Mobile User Authentication," Mathematics, MDPI, vol. 12(5), pages 1-27, March.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:5:p:752-:d:1350164
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