Automatic Iraqi license plate recognition system using back propagation neural network (BPNN)

Abstract

License Plate (LP) is a rectangular metal plate located on vehicles body and contain numbers and characters or words for identification purposes. License Plate Recognition (LPR) system is a computer vision and image processing technology normally used to identify vehicles by their unique license plates. Over the last few years, the great importance of finding the exact accurate location of the license plate in an automatic manner has largely increased. This work basically aims to design an automatic number plate recognition (ANPR) system for the new Iraqi license plates using back propagation neural network. The simulation of the proposed system was implemented using MATLAB software package. The software is able to recognizes license plate number for vehicles, compares the license plate number with a built-in database and get information about the exact vehicle, and finally, decides whether or not this vehicle is allowed to enter a specific area. This software is able to recognize license plates when dealing with bad quality vehicle license plate images.