Persian character recognition of vehicle registration plate, independent of rotation and size using orthogonal moments

Abstract Today, with the increasing production rate and importation of vehicles in Iran , identifing of vehicle registration plate recognition systems seem necessary. This factor has caused traffic control vehicle traffic by human staff seem impossible. If use of these systems are compatible with the country's environmental situation, they causing a significant reduction of costs for traffic controlling. Meanwhile, the huge amount of the vehicles have caused other traditional procedures are not applicable. Due to atmospheric and climatic conditions of the country, creating an efficient system compatible with a variety of environmental conditions and optical precision is essential. The system must have high diagnostic accuracy in distinguishing characters have vehicle registration plates.Therefore, given the importance of this paper is an attempt to solution to improve the ability to detect and predict farsi vehicle registration plate characters to be created. In this paper, the database contains 600 color images of vehicles in the country the size of 680 x 480 is used. In this study, in addition to the existing challenges to provide guidelines for improving forecasts in various stages. The advantages of the proposed method in addition to high precision, flexibility and the ability to implement in the real world as well as the ability to work under ambient conditions and atmospheric lighting can be named. Some problems that can be caused administrative problems in this regard will be occurred that must be resolved in the next steps. Usually there will be resistance by some factors involved that must be solved by interacting.