Abstract
Automatic number plate recognition, using image processing techniques, is indicating new ways of capturing traffic data. Such systems could play an important role in automatic toll collection. The requirement is to develop a practical system able to work under a variety of number plate geometries, sizes, and different fonts. The target of this research is to use neural network techniques to recognize characters in a number plate, so as to achieve an acceptable level of accuracy. In order to depend on such systems to replace the conventional traffic data collection methods, their accuracy level must match conventional methods. An advantage of using automatic systems is that it does not depend on human factors and it can work under difficult circumstances.
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