License Number Plate De-blurring Methods for Fast Moving Vehicle

Abstract

In Intelligent Transportation System the detection of the number plate of fast moving vehicles is an important part. This paper gives methods for detecting vehicles, which violates rules in real time traffic scenario. One of the problems is to recognize the license plate due to fast motion and uncertain condition. Firstly, taking the fast moving vehicle from camera kept in different position and angles. After removing motion blur in the image frame, detect the license plate from the front or the rear of a car by using morphological operation. Motion blur is occurred because of relative motion between the original scene and the camera, during the integration time of the image. Motion blurring obtain problems in license plate recognition, as the characters on the license plate cannot be recognized due to distortion occurred by blurring. Hence, de-blurring of license plate image is required, due to that character recognition is possible. De-blurring is the process of removing blurring artifacts from an image. The process of motion de-blurring can be divided into two parts: the estimation of the function that caused the blur (the degradation function), and application of a restoration algorithm to the de-blurred image.