Ear-Touch-Based Mobile User Authentication

Jalil Nourmohammadi Khiarak (), Samaneh Mazaheri and Rohollah Moosavi Tayebi
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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

Mathematics, 2024, vol. 12, issue 5, 1-27

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.

Keywords: mobile biometric; authentication; ear recognition system; ear-touch biometric (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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