COMPARATIVE ANALYSIS OF SELECTED FACIAL RECOGNITION ALGORITHMS

Authors

  • JA Popoola DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF LAGOS, AKOKA YABA, LAGOS STATE, NIGERIA
  • CO Yinka-Banjo DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF LAGOS, AKOKA YABA, LAGOS STATE, NIGERIA

Keywords:

Haar-Cascade, PCA, Eigenfaces, Fisherfaces, LBPH, Face Recognition.

Abstract

Systems and applications embedded with facial detection and recognition capabilities are founded on the notion that there are differences in face structures among individuals, and as such, we can perform face-matching using the facial symmetry.  A widely used application of facial detection and recognition is in security.  It is important that the images be processed correctly for computer-based facial recognition, hence, the usage of efficient, cost-effective algorithms and a robust database. This research work puts these measures into consideration and attempts to determine a cost-effective and reliable algorithm out of three algorithms examined.

 

http://dx.doi.org/10.4314/njt.v39i3.26

Published

2020-06-22

Issue

Section

Computer, Telecommunications, Software, Electrical & Electronics Engineering