PVBR-Recog: A YOLOv3-based Brazilian Automatic License Plate Recognition Tool. Ferreira Alves Pinto, P.; Busson, A.; Melo, J. P.; Colcher, S.; and Milidiú, R. In October, 2019.
doi  abstract   bibtex   
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.
@inproceedings{ferreira_alves_pinto_pvbr-recog_2019,
  title = {{PVBR}-{Recog}: {A} {YOLOv3}-based {Brazilian} {Automatic} {License} {Plate} {Recognition} {Tool}},
  shorttitle = {{PVBR}-{Recog}},
  doi = {10.5753/webmedia_estendido.2019.8149},
  abstract = {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.},
  author = {Ferreira Alves Pinto, Pedro and Busson, Antonio and Melo, João Paulo and Colcher, Sérgio and Milidiú, Ruy},
  month = oct,
  year = {2019}
}
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