A New Hybrid Fusion Approach Based on Classical Methods (PCA, LBP) and Deep Learning (FaceNet) for Performance Improvement of Face Recognition Methods
This article presents an empirical comparison of four automatic face recognition methods: Principal Component Analysis (PCA), Local Binary Patterns (LBP), the deep neural network FaceNet, and an original hybrid approach proposed by the authors, referred to as FLLF (Feature-Level Late Fusion). The experiments were condu...