Automated face recognition: challenges and solutions

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Automated face recognition (AFR) aims to identify people in images or videos using pattern recognition techniques. Automated face recognition is widely used in applications ranging from social media to advanced authentication systems. Whilst techniques for face recognition are well established, the automatic recognition of faces captured by digital cameras in unconstrained, real‐world environment is still very challenging, since it involves important variations in both acquisition conditions as well as in facial expressions and in pose changes. Thus, this chapter introduces the topic of computer automated face recognition in light of the main challenges in that research field and the developed solutions and applications based on image processing and artificial intelligence methods.
Original languageEnglish
Title of host publicationPattern Recognition - Analysis and Applications
EditorsS. Ramakrishnan
Number of pages21
ISBN (Electronic)9789535128038
ISBN (Print)9789535128045
Publication statusPublished - 14 Dec 2016
Externally publishedYes


  • face recognition
  • face identification
  • face verification
  • face authentication
  • face labelling in the wild
  • computational face


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