New Method for Optimization of License Plate Recognition system with Use of Edge Detection and Connected Component
This is an incremental improvement for traffic monitoring and parking management systems.
The paper tackled the problem of license plate recognition under challenging conditions like tilt and poor quality, achieving a correct extraction rate of 98.66% on a diverse dataset.
License Plate recognition plays an important role on the traffic monitoring and parking management systems. In this paper, a fast and real time method has been proposed which has an appropriate application to find tilt and poor quality plates. In the proposed method, at the beginning, the image is converted into binary mode using adaptive threshold. Then, by using some edge detection and morphology operations, plate number location has been specified. Finally, if the plat has tilt, its tilt is removed away. This method has been tested on another paper data set that has different images of the background, considering distance, and angel of view so that the correct extraction rate of plate reached at 98.66%.