Mathematics (Mar 2024)

Ear-Touch-Based Mobile User Authentication

  • Jalil Nourmohammadi Khiarak,
  • Samaneh Mazaheri,
  • Rohollah Moosavi Tayebi

DOI
https://doi.org/10.3390/math12050752
Journal volume & issue
Vol. 12, no. 5
p. 752

Abstract

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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.

Keywords