{"_id":"Nga8LAy6meTDssES8","bibbaseid":"ferreiraalvespinto-busson-melo-colcher-milidi-pvbrrecogayolov3basedbrazilianautomaticlicenseplaterecognitiontool-2019","authorIDs":[],"author_short":["Ferreira Alves Pinto, P.","Busson, A.","Melo, J. P.","Colcher, S.","Milidiú, R."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","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":[{"propositions":[],"lastnames":["Ferreira","Alves","Pinto"],"firstnames":["Pedro"],"suffixes":[]},{"propositions":[],"lastnames":["Busson"],"firstnames":["Antonio"],"suffixes":[]},{"propositions":[],"lastnames":["Melo"],"firstnames":["João","Paulo"],"suffixes":[]},{"propositions":[],"lastnames":["Colcher"],"firstnames":["Sérgio"],"suffixes":[]},{"propositions":[],"lastnames":["Milidiú"],"firstnames":["Ruy"],"suffixes":[]}],"month":"October","year":"2019","bibtex":"@inproceedings{ferreira_alves_pinto_pvbr-recog_2019,\n title = {{PVBR}-{Recog}: {A} {YOLOv3}-based {Brazilian} {Automatic} {License} {Plate} {Recognition} {Tool}},\n shorttitle = {{PVBR}-{Recog}},\n doi = {10.5753/webmedia_estendido.2019.8149},\n 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.},\n author = {Ferreira Alves Pinto, Pedro and Busson, Antonio and Melo, João Paulo and Colcher, Sérgio and Milidiú, Ruy},\n month = oct,\n year = {2019}\n}\n\n","author_short":["Ferreira Alves Pinto, P.","Busson, A.","Melo, J. P.","Colcher, S.","Milidiú, R."],"key":"ferreira_alves_pinto_pvbr-recog_2019","id":"ferreira_alves_pinto_pvbr-recog_2019","bibbaseid":"ferreiraalvespinto-busson-melo-colcher-milidi-pvbrrecogayolov3basedbrazilianautomaticlicenseplaterecognitiontool-2019","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0,"html":""},"bibtype":"inproceedings","biburl":"http://learn.inf.puc-rio.br/files/all.bib","creationDate":"2020-03-03T14:08:15.180Z","downloads":0,"keywords":[],"search_terms":["pvbr","recog","yolov3","based","brazilian","automatic","license","plate","recognition","tool","ferreira alves pinto","busson","melo","colcher","milidiú"],"title":"PVBR-Recog: A YOLOv3-based Brazilian Automatic License Plate Recognition Tool","year":2019,"dataSources":["THrqb5YStCwtsXHfP"]}