Abstract
D. Ing.
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.