@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} }