Abstract
D.Ing.
This thesis deals with an investigation into facial recognition and some variables
that influence the performance of such a system. Firstly there is an
investigation into the influence of image variability on the overall recognition
performance of a system and secondly the performance and subsequent
suitability of a neural network based system is tested. Both tests are carried
out on two distinctly different databases, one more variable than the other.
The results indicate that the greater the amount of variability the more
negatively affected is the performance rating of a specific facial recognition
system. The results further indicate the success with the implementation of
a neural network system over a more conventional statistical system.