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Vol. 10 No. 1 (2024)
Special Issue: Proceedings of CVIS 2024

Articles

Passive Video liveness detection using Vision Transformer

https://doi.org/10.15353/jcvis.v10i1.10016

Published 2025-02-19

  • Harish Krishnamoorthy Murali
    • ,
  • Pranav Kumar Ayee Goundar Venkatesan
    • ,
  • Vicknesh Balabaskaran
    • ,
  • Faizan Ahmad

Abstract

This paper presents a passive video liveness detection system designed to enhance security in online authentication and authorization services. As traditional authentication methods are increasingly susceptible to spoofing attacks using static images, videos, or deepfake technology, there is a growing need for advanced biometric solutions. The proposed system applies computer vision and machine learning techniques to accurately distinguish between live users and fraudulent attempts in real-time, without requiring active user interaction.
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