Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
Technological intelligence is a highly sought after commodity
even in traffic-based systems. These intelligent systems do not
only help in traffic monitoring but also in commuter safety, law
enforcement and commercial applications. In this paper, a license
plate localization and recognition system for vehicles in Malaysia
is proposed. This system is developed based on digital images and
can be easily applied to commercial car park systems for the use
of documenting access of parking services, secure usage of
parking houses and also to prevent car theft issues. The proposed
license plate localization algorithm is based on a combination of
morphological processes with a modified Hough Transform
approach and the recognition of the license plates is achieved by
the implementation of the feed-forward backpropagation artificial
neural network. Experimental results show an average of 95%
successful license plate localization and recognition in a total of
589 images captured from a complex outdoor environment.
