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Open access Aug 2026

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...

M. Abbas, Muhammad Munib, Muhammad Sajid et al. · 0 citations

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