ENHANCEMENT IN LICENSE NUMBER PLATE SYSTEM USING K-NEIGHBOR NEAREST ALGORTHM?

Image processing system treat images as two dimensional signals and set of signals processing methods are applied to them. LPR is also one of the applications of image processing. Till now, all the LPR systems have been developed using neural networks. In this paper we proposed to implement the system using Gabor filter, OCR and Vision Assistant to make the system faster and more efficient. To recognize number plate first of all add templates from A-z and 0-9 and add them into mat file. After that read the image and convert that image into grey scale. Now the next step is to find out threshold value of the image. After finding T-value convert that image into binary. In this work, we also use median filter & Gabor filter in which we made cell in which different-different subplot based on pixel value.