Enhancing facial recognition: a comprehensive review of deep learning approaches and future perspectives

HIGHLIGHTS

• What: The paper evaluates both traditional and contemporary models, highlighting the progression from elementary techniques using eigenfaces and feature descriptors to advanced deep learning models that utilize deep identity features and complex network architectures. By examining these elements in detail, the paper aims to present a clear picture of the current landscape of facial recognition technologies and provide insight into potential future research directions that could further improve the efficacy and applicability of these systems. The paper discusses various feature extraction methodologies that leverage both CNN and GAN frameworks, providing insights into their capability to extract nuanced . . .
  

   

  

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