Vol. 2,No. 4, April 2012 (Special Issue in Computer Sciences)
Author(s): Mohammad Kadkhoda, Ebrahim Zarei Zefreh
Abstract: The license plates of vehicles are the most important information items for recognition vehicles. This paper proposes an intelligence license plate recognition (ILPR) system. We deal with problematic from field of image processing in construction of intelligence license plate recognition system for Persian vehicles (ILPRSPV). We used Image Processing and back propagation neural network for recognition the numbers and characters.The proposed method tested on 500 vehicles images which captured from different distance, different angle and variable illumination conditions. The rate of success plate location recognition is about 87%, success numbers and the rate of success character segregating is about 95% and the rate of success numbers and character recognition of complete registration is about 91%.
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