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Automatic Number Plate Recognition

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Automatic Number Plate Recognition
Introduction
Various innovations in the IT field have completely revolutionized the world, making it into an e-village. The technology has affected all the fields, let it be science, education, sports, arts and even it has affected the field of transportation. Now days, vehicles play a vital role in transportation. Also the use of vehicles has been increasing because of population growth and human needs in recent years.
Therefore, control of vehicles is becoming a huge problem and much more difficult to solve. As the number of vehicles increase day-by-day, a lot of malpractices in this field happen, such as stealing vehicles, red light violations, unnecessary accidents etc. So the concept of Intelligent Traffic System was developed. In this system it was necessary to identify the vehicles that run on the road. So Automatic Number Plate Recognition (ANPR) System was developed.
Automatic Number Plate Recognition (ANPR) System is essential in Intelligent Traffic Systems. ANPR Systems are made up of high-speed cameras designed to capture a photograph of each and every passing license plate, combined with software that analyses those photographs to identify the license plate number. These systems store extensive location information about each automobile.
One of the most useful techniques in traffic management, speed control and security improvement in big cities is Automatic Number Plate Recognition (ANPR). During the last two decades many techniques for license plate detection have been developed. Automatic Number Plate Recognition (ANPR) plays a significant role in many applications relevant to transportation systems such as traffic management and analysis, speed control, automobile theft prevention, parking lot management, and many other research areas. The effect of variable illumination, complicated backgrounds, and the distortive effect of vehicle speed on license plates are some of the main problems which any proposed ANPR system has to overcome. However,

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