The Faster R-CNN utilized inceptionV2 architecture. In this paper, we present an improved Faster Region-based Convolutional Neural Network (R-CNN) for localizing vehicle license plates. A lot of researches have been carried out on vehicles license plates detection and localization which has led to the development of new techniques and modification of existing techniques. Real-time identification of vehicle license plate has become more practical within the last decade in many applications such as storage and retrieval of vehicular inflow records, automatic toll collection, parking fee payment, traffic monitoring, tracking of moving vehicles, recovery of stolen vehicles etc.
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