Sneha G. Patel
Sardar Vallabhbhai Patel Institute of Technology, India

Automatic Identification of vehicles is a verychallenging area, which is in contrast to the traditionalpractice of monitoring the vehicles manually. Automatic license plate (LP) recognition is one of the mostpromising aspects of applying computer vision techniques towards intelligent transportationsystem. InLocation of the vehicle plate, a method of vehicle license plate character segmentation and extractionbased on improved edge detection and Mathematical morphology was presented. In the first place, colorimages were changed into grey images, secondly through calculates the difference of each pixel andneighbourhood pixels to build up images edge and it can make the license plate stand out; Sobel operatoris used to extract the edge of objects in image; then the algorithm applies the dilation anderosionmathematical morphology of binary images to get the image smooth contour.The segmentation resultwhich is sent forward to LP recognition stage will improve further processing’s efficiency. Neural Networkis used to recognize the license plate character. Because of the accuracy of the plate region extraction, thecharacter can be extracted exactly from the plate region.

License Plate Recognition, Back propagation, Neural Network,Median Filter.