International Journal of Scientific Research and Engineering Development

In order to improve security against spoofing attacks in face recognition systems, this study introduces an intelligent multi-layer authentication method. Attacks utilizing images, videos, or mobile screen replays can compromise traditional biometric authentication techniques. The suggested solution combines face recognition with sophisticated liveness detection methods and dynamic One-Time Password (OTP) validation to overcome these difficulties. In order to verify the existence of a live user and thwart attempts at spoofing, the liveness recognition module examines real-time facial movements such eye blinking, head movement, and lip motion. A dynamic OTP is created and delivered to the user's registered contact after facial verification is successful, adding another degree of security. The FastAPI-based backend and computer vision libraries used in the system's implementation guarantee effective processing and real-time speed. The suggested method greatly increases resistance against spoofing assaults while preserving user convenience, according to experimental data. This technology can be used successfully in identity verification platforms, financial apps, and secure login systems.

Shifa Bilal Tamboli, Simeen Phiroj Mulani, Arman Tajuddin Shiakh,"Intelligent Anti-Spoof Face Authentication System with Dynamic OTP Validation" International Journal of Scientific Research and Engineering Development, V9(2): Page(2439-2445) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.