Unconstrained Facial Recognition Systems: A Review

Authors

  • Maraw Yousif Hassan
  • Othman O. Khalifa
  • Azhar Abu Talib
  • Aisha Hassan Abdulla

Keywords:

Face Recognition, Deep Learning, Representation learning, feature learning

Abstract

Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its applications in various domains. Face recognition under controlled environment that is where pose, illumination and other factors are controlled, has well been developed in the literature and near perfection accuracy results have been achieved. However, the unconstrained counterpart, where these factors are not controlled, still under heavy research.  Recently, newly developed algorithms in the field that are based on deep learning technology have made significant progress. In this paper, an overview of the newly developed unconstrained facial recognition systems is presented.

 

Author Biography

Othman O. Khalifa

Electrical and Computer Engineering Department

International Islamic University Malaysia

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Published

2015-04-25

How to Cite

Hassan, M. Y., Khalifa, O. O., Talib, A. A., & Abdulla, A. H. (2015). Unconstrained Facial Recognition Systems: A Review. Asian Journal of Applied Sciences, 3(2). Retrieved from https://www.ajouronline.com/index.php/AJAS/article/view/2151

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