Vehicle Number Plate Detection is an authentic time fixed systems for the identification of alphanumeric characters directly from vehicle number plates. It plays an important role in numerous applications like road traffic observation, detection of purloined vehicles, toll plaza payment on roadways or viaduct, parking lots etc. There are many algorithms developed for the detection of number plates but they require lot of time and expertise before giving results. In proposed work new method for the recognition of number plates is devised. In proposed work Optical Character Recognition is used for recognition of characters and Back Propagation Neural Network is used for verifying the results. Different parameters are calculated like accuracy, MSE. Parameters for both the work which is of base paper and proposed methods are compared in last
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