Review of existing algorithms for face detection and recognition

  • Authors:

  • Nurulhuda Ismail;Mas Idayu Md. Sabri

  • Affiliations:

  • Department of System and Computer Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia;Department of System and Computer Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

  • Venue:
  • CIMMACS'09 Proceedings of the 8th WSEAS International Conference on Computational intelligence, man-machine systems and cybernetics
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we present a review on the most successful existing algorithms or methods for face recognition technology to encourage researchers to embark on this topic. A brief on general information of this topic is also included to compose an overall review. This review is written by investigating past and ongoing studies done by other researchers related to the same subject. Five different algorithms have been preferred based on the most widely used criteria. The algorithms are Principle Component Analysis (PCA), Linear Discriminant Analysis (LDA), skin colour, wavelet and Artificial Neural Network (ANN). Certain parameters have been taken into account for the algorithms' review. The parameters are size and types of database, illumination tolerance, facial expressions variations and pose variations. However, no specific justification can be claimed as it is only a review paper based on other researches.