Unconstrained user authentication on smart phones through ocular images using FHOG and SVM

Unar, Jawed A. and Shah, Asadullah and Memon, Abdul Wahid and Ahmed Koondhar, Iftikhar and Sulaiman, Suriani and Ismail, Ahsiah and Shaikh, Amina (2025) Unconstrained user authentication on smart phones through ocular images using FHOG and SVM. In: IEEE 9TH ICETAS 2024, November 20-22, Bahrain.

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Abstract

Recently, perioocular region is gaining popularity amongst the biometric community as an alternative approach to other ocular modalities. This is due to easy imaging and localization from facial images. Therefore, the periocular based user authentication techniques suit well for smart phones. This study aims to combine the image processing and machine learning approaches towards designing a user authentication system for smart phones. For doing so, the study uses viola Jones eye detector for perioocular region localization from the facial images taken with smart phone cameras. The study examines the potential of Felzenszwalb’s HOG (FHOG) features combined with support vector machines (SVM) to authenticate the legitimate user of the smart phone. The empirical evaluation of the proposed scheme exhibits promising results on publicly available MICHE – I ocular dataset.

Item Type:	Proceeding Paper (Other)
Uncontrolled Keywords:	Biometrics, smart phones, machine learning, SVM, periocular recognition, user authentication
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof Asadullah Shah
Date Deposited:	12 Sep 2025 16:00
Last Modified:	12 Sep 2025 16:00
URI:	http://irep.iium.edu.my/id/eprint/123212

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