Since 1970's, the need of an automatic license plate recognition system, sometimes referred as Automatic License Plate
Recognition system, has been increasing. A license plate recognition system is an automatic system that is able to
recognize a license plate number, extracted from image sensors. In specific, Automatic License Plate Recognition
systems are being used in conjunction with various transportation systems in application areas such as law enforcement
(e.g. speed limit enforcement) and commercial usages such as parking enforcement and automatic toll payment private
and public entrances, border control, theft and vandalism control. Vehicle license plate recognition has been intensively
studied in many countries. Due to the different types of license plates being used, the requirement of an automatic
license plate recognition system is different for each country. [License plate detection using cluster run length smoothing
algorithm ].Generally, an automatic license plate localization and recognition system is made up of three modules;
license plate localization, character segmentation and optical character recognition modules.
This paper presents an Arabic license plate recognition system that is insensitive to character size, font, shape and
orientation with extremely high accuracy rate. The proposed system is based on a combination of enhancement, license
plate localization, morphological processing, and feature vector extraction using the Haar transform. The performance of
the system is fast due to classification of alphabet and numerals based on the license plate organization.
Experimental results for license plates of two different Arab countries show an average of 99 % successful license
plate localization and recognition in a total of more than 20 different images captured from a complex outdoor
environment. The results run times takes less time compared to conventional and many states of art methods.