Article

GEOMETRIC FACIAL LIVENESS INDICATORS FOR SECURE BIOMETRIC VERIFICATION IN DIGITAL EDUCATION ENVIRONMENTS

Feruza OrtikovaTashkent University of Information Technologies named after Muhammad al-Khwarizmi

Zenodo (CERN European Organization for Nuclear Research)repository2026en

ABI

Abstract

This paper examines geometric facial liveness indicators for secure biometric verification in digital education. Unlike traditional face recognition focused on identity matching, the approach distinguishes a live face from spoofing attempts such as photos, videos, and screen-based imitations. It highlights landmark dynamics, motion consistency, asymmetry, and depth-related changes as useful liveness cues. The study concludes that geometric liveness analysis can improve security in remote learning and online examinations while remaining efficient and interpretable.

Topics

Face recognition and analysis Face Recognition and Perception Biometric Identification and Security

Identifiers

DOI: 10.5281/zenodo.19629753

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