PVBR-Recog: A YOLOv3-based Brazilian Automatic License Plate Recognition Tool

Anais Estendidos do XXV Simpósio Brasileiro de Sistemas Multimídia e Web(2019)

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摘要
Vehicle’s license plate detection and recognition is a task with several practical applications. It can be applied, for example, in the security segment, identifying stolen cars and controlling cars entry/exit in private areas. This work presents a Deep Learning based tool that uses the cascaded YOLOv3 to simultaneously detect and recognize vehicle plate. In experiments performed, our tool got a recall of 95% in plate detection and 96.2% accuracy in the recognition of the 7 characters of the license plate.
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