University of Hertfordshire

Face Recognition: From Traditional to Deep Learning Methods

Research output: Contribution to journalReview article

  • Daniel Sáez-Trigueros
  • Li Meng
  • Margaret Hartnett
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Original languageEnglish
JournalIEEE Transactions on Neural Networks and Learning Systems
Publication statusIn preparation - 2018


Starting in the seventies, face recognition has become one of the most researched topics in computer vision and biometrics. Traditional methods based on hand-crafted features and traditional machine learning techniques have recently been superseded by deep neural networks trained with very large datasets. In this paper we provide a comprehensive and up-to-date literature review of popular face recognition methods including both traditional (geometry-based, holistic, feature-based and hybrid methods) and deep learning methods

ID: 15666853