Licence Plate Localization And Recognition Using Mser And Swt Algorithms

Licence Plate Localisation and Recognition using MSER and SWT Algorithms is a very challenging area, which is in contrast to the traditional practice of monitoring the vehicles manually. License Plate Localization and Recognition(LPLR) is one of the most promising aspects of applying Digital Image Processing towards intelligent transportation system. In Location of the License plate, a method of vehicle license plate character segmentation and extraction based on improved edge detection and Mathematical morphology was presented. In the first place, color images were changed into grey images. Secondly Sobel operator is used to extract the edge of objects in image; then the MSER algorithm is applied to separate the text areas in the image .applies the dilation and erosion mathematical morphology of binary images to get the image smooth contour. The segmentation result which is sent forward to LP recognition stage will improve further processing’s efficiency. Neural Network is used to recognize the license plate character