Description

ABSTRACT:

          It is the novel method for detect the license plate in the image. In the initial step we have to

denoise the image. And then we segment the image by the use adaptive threshold segmentation.

Then we eliminate the unwanted lines. Adaptive threshold is the simplest non-contextual

segmentation technique. With a single threshold, it transforms a grayscale or color image into a

binary image considered as a binary region map. The binary map contains two possibly disjoint

regions, one of them containing pixels with input data values smaller than a threshold and another

relating to the input values that are at or above the threshold. The previous methods use more

sophisticated web cameras so the processing is very difficult and time consuming. We use a web

camera of 352 × 288 resolution . The web cameras are processed offline. Vertical edge extraction

and detection is a important process in CLPD because it affects the system’s accuracy and

computation time. Our proposed vertical edge detection algorithm reduces these complexities. The

color images are converted into gray scale for easy processing.