Lightweight Face Anti-Spoofing with MobileNetV2: Transfer Learning, Model Compression, and Evaluation on LCC-FASD
Face recognition systems remain vulnerable to presentation attacks involving printed photographs, replayed videos, and three-dimensional masks, creating a need for accurate and computationally efficient face anti-spoofing methods. This study proposes a lightweight deep learning framework based on MobileNetV2 for detect...