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

Autor: Pedro Ferreira Alves Pinto, Sérgio Colcher, Antonio José G. Busson, Ruy Luiz Milidiú, João P. Forny de Melo
Rok vydání: 2019
Předmět:
Zdroj: Anais Estendidos do Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia).
Popis: 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.
Databáze: OpenAIRE