Abstract :
A Farsi License Plate Recognition (LPR) System is one kind of automatic inspection of transport systems and is of considerable interest because of its potential applications to areas such as automatic toll collection, traffic law enforcement and security control of restricted areas. This paper proposes an automatic license plate recognition system for Persian license plates. We have different type of Persian license plate with different shape, background, font size and structures. The license plate recognition is done in the several stages. First existence of vehicle detected from desirable windows by image processing algorithms. In the last stages locating of plate in the image is recognize and characters of plate area are extracted by region growing and connectivity algorithms. The end of system are recognized all of characters set of license plate by properly neural network pattern recognition and result stored in database for uses in traffic application. This system worked under variable illumination, variable size of plate and dynamic backgrounds. This system implemented with help of Tehran Control Traffic Company and performance of the LPR system has been tested on 400 vehicles images which captured under various sizes of plate and variable illumination conditions. The rate of success recognition is 95%.

Keywords: license plate recognition, neural network, pattern recognition, OCR

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