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Multimodal verification of identity for a realistic access control application

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dc.contributor.advisor Prof. A.L. Nel en
dc.contributor.author Denys, Nele
dc.date.accessioned 2008-11-18T09:08:58Z
dc.date.available 2008-11-18T09:08:58Z
dc.date.issued 2008-11-18T09:08:58Z
dc.date.submitted 2004-05
dc.identifier.uri http://hdl.handle.net/10210/1734
dc.description D. Ing. en
dc.description.abstract This thesis describes a real world application in the field of pattern recognition. License plate recognition and face recognition algorithms are combined to implement automated access control at the gates of RAU campus. One image of the license plate and three images of the driver’s face are enough to check if the person driving a particular car into campus is the same as the person driving this car out. The license plate recognition module is based on learning vector quantization and performs well enough to be used in a realistic environment. The face recognition module is based on the Bayes rule and while performing satisfactory, extensive research is still necessary before this system can be implemented in real life. The main reasons for failure of the system were identified as the variable lighting and insufficient landmarks for effective warping. en
dc.language.iso en en
dc.subject Pattern recognition systems en
dc.subject Human face recognition (Computer science) en
dc.subject Optical character recognition devices en
dc.subject Image processing en
dc.subject Automatic control en
dc.title Multimodal verification of identity for a realistic access control application en
dc.type Thesis en

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