License Plate location Determination by Using Case-Based Reasoning

The license plate recognition system is part of the intelligent transportation system. In the intelligent transportation system, the vehicle image is used as the system input. The first step is to improve the image, after the edge detection, a series of morphological operations are performed to identify the plaque. The main purpose of this research was to increase the importance of plate recognition in unusual conditions, such as color change of the plaque, which is used to achieve this case-based reasoning adaptive power. The results showed that the proposed method has had an accuracy level of 84.5% plaque recognition and it was more accurate than the existing systems.