Détection et interprétation des chiffres d’une plaque d’immatriculation

Abstract

In this thesis, we propose a new system for detecting and recognizing the digits of a vehicle license plate in Algeria. Despite attempts to make the machine learn like humans, but until today no machine can understand 100%. The work of this thesis is part of the automatic recognition of numbers based on image processing. The proposed approach essentially consists of an extraction step of zoning features with and without combination, and a classical K-ppv classification method. The numerical results show the efficiency of the proposed