14-11-2014, 10:53 AM
Abstracts: The Automatic Number plate recognition (ANPR) is an image processing technology used to identify vehicles by their license plates. This technology is gaining popularity in security and traffic installations. It is a challenging area of research due to its importance to a wide range of commercial applications. The first and the most important stage for any ANPR system is the localization of the license plate within the image captured by a camera. It plays an important role in numerous applications and a number of techniques have been proposed. However, most of them worked under restricted conditions, such as fixed illumination, limited vehicle speed, designated routes, and stationary backgrounds. In this study, as few constraints as possible on the working environment are considered. The proposed ANPR technique consists of two main modules: a license plate locating module and a license number identification module. Systems for Automated Number Plate Recognition (ANPR) can provide a valuable data source for transport planning and engineering. Multiple tasks can be solved with ANPR systems located at one or more survey points. An apparent method to solve this problem and to identify vehicles at different locations is too be serve the number plate, which is unique for every vehicle. Manual number plate surveys have a long tradition in transport planning. They are primarily used to determine the origin, destination and through traffic of an area. Manual recordings of number plates, however, are costly and error prone as human surveyors is overburdened by this task. In recent years Automatic Number Plate Recognition systems (ANPR) have become a reliable and affordable state-of-the-art technique. They are used by the police for the enforcement of traffic rules or for crime detection.