Automated face recognition: challenges and solutions

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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
PublisherIntechOpen
Chapter4
Pages59-79
Number of pages21
ISBN (Electronic)978-953-51-2803-8
ISBN (Print)978-953-51-2804-5
DOIs
Publication statusPublished - 14 Dec 2016
Externally publishedYes

Fingerprint

Face recognition
Digital cameras
Authentication
Pattern recognition
Artificial intelligence
Image processing

Keywords

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

Cite this

Olszewska, J. I. (2016). Automated face recognition: challenges and solutions. In S. Ramakrishnan (Ed.), Pattern Recognition - Analysis and Applications (pp. 59-79). IntechOpen. https://doi.org/10.5772/66013
Olszewska, Joanna Isabelle. / Automated face recognition : challenges and solutions. Pattern Recognition - Analysis and Applications. editor / S. Ramakrishnan. IntechOpen, 2016. pp. 59-79
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Olszewska, JI 2016, Automated face recognition: challenges and solutions. in S Ramakrishnan (ed.), Pattern Recognition - Analysis and Applications. IntechOpen, pp. 59-79. https://doi.org/10.5772/66013

Automated face recognition : challenges and solutions. / Olszewska, Joanna Isabelle.

Pattern Recognition - Analysis and Applications. ed. / S. Ramakrishnan. IntechOpen, 2016. p. 59-79.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Olszewska JI. Automated face recognition: challenges and solutions. In Ramakrishnan S, editor, Pattern Recognition - Analysis and Applications. IntechOpen. 2016. p. 59-79 https://doi.org/10.5772/66013