An investigation into the parameters influencing neural network based facial recognition

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dc.contributor.advisor Dr. A.L. Nel en_US
dc.contributor.author Oerder, Stacy-Ann
dc.date.accessioned 2012-09-05T09:40:23Z
dc.date.available 2012-09-05T09:40:23Z
dc.date.issued 2012-09-05
dc.date.submitted 1999
dc.identifier.uri http://hdl.handle.net/10210/7007
dc.description D.Ing. en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.subject Face perception - Data processing en_US
dc.subject Neural networks (Computer science) en_US
dc.subject Image processing - Digital techniques en_US
dc.subject Pattern recognition systems en_US
dc.title An investigation into the parameters influencing neural network based facial recognition en_US
dc.type Thesis en_US

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