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What is Optimized Framework for Face Anti-Spoofing about?
This document presents a novel optimized feature extraction framework for face anti-spoofing (FAS) that integrates Local Binary Patterns (LBP) with the Whale Optimization Algorithm (WOA) to enhance detection accuracy and efficiency. The proposed hybrid learning model aims to improve the robustness and generalization of face recognition systems against various spoofing attacks, such as print and 3D mask methods. Experimental results demonstrate significant improvements over traditional methods in terms of de
- Author
- umanggargcse
- Language
- EN