سال انتشار: ۱۳۹۰

محل انتشار: دومین کنفرانس ملی محاسبات نرم و فن آوری اطلاعات

تعداد صفحات: ۲

نویسنده(ها):

ebrahim zarei zefreh – department of mathematical science tarbiat modares university TMU
mohammad kadkhoda –

چکیده:

the license plated of vehicles are the most important information items for recognition vehicles this paper proposes intelligence license plate recognition ILPR system we deal with problematic from fiels of image processing in construction of intelligence license plate recognition system fr persian vehicles ILPRSPV we used imag 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%