<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Abdelhalim BOUTARFA</style></author><author><style face="normal" font="default" size="100%">Frédéric Morain-Nicolier</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Method for detecting and segmenting a vehicle license plate from a road image</style></title><secondary-title><style face="normal" font="default" size="100%">A Journal of IFAC, the International Federation of Automatic Control (Impact Factor: 6.355)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">Submitted</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.journals.elsevier.com/automatica</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The still ongoing and seemingly unlimited increase of vehicles of various types and weights yields a large scope of challenges mainly related to transportation and law enforcement. In order to meet these challenges in an effective manner while still fully abiding by the law, an effective vehicle license plate recognition system in real time is urgently required. Though....</style></abstract></record></records></xml>