Real-time Automated License Plate Recognition using R-CNN

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Dr. K. Kavitha, S. Madhesh, G.S. Yadhu Nandhan, M.R. Jyothiswaruban

Electronics and Communication Engineering, Velammal College of Engineering and Technology, Madurai.

Abstract— The extraction of vehicle license plate information from a picture or a succession of photographs is known as automatic license plate recognition (ALPR). Many applications, such as electronic payment systems (toll payment, parking fee payment), and highway and arterial monitoring systems for traffic surveillance, can use the extracted data with or without a database. The ALPR takes pictures with colour, black-and-white, or infrared cameras. The quality of the acquired photographs is critical to the ALPR's success. As a real-world application, ALPR must process license plates swiftly and successfully in a variety of environments, including inside, outdoors, day or night. It should also be generic enough to handle license plates from other countries, provinces, or states.

Domain – Deep Learning

Keywords – ALPR, ANPR, R-CNN, Neural Networks.