  The Intelligent Transportation Systems (ITS) are the subject of a world
economic competition. They are the application of new information and
communication technologies in the transport sector, to make the infrastructures
more efficient, more reliable and more ecological. License Plates Recognition
(LPR) is the key module of these systems, in which the License Plate
Localization (LPL) is the most important stage, because it determines the speed
and robustness of this module. Thus, during this step the algorithm must
process the image and overcome several constraints as climatic and lighting
conditions, sensors and angles variety, LPs no-standardization, and the real
time processing. This paper presents a classification and comparison of License
Plates Localization (LPL) algorithms and describes the advantages,
disadvantages and improvements made by each of them
