Automated Number Plate Verification System based on Video Analytics

In almost all the place traffic surveillance is done in a wider range, it is a technology that is used in order to provide more safety to the people along with providing smooth management of traffic. In this paper, the focus was on the surveillance recording to extract number plate of a vehicle from a live video and process the obtained result. In this paper Templates matching algorithm is used. In this algorithm as and when the image is passed for obtaining the number plate the image is filtered, after this the image is converted to grayscale. MATLAB works very fast with grayscale images as compared to RGB image; it performs region-based operations to draw the boundary boxes around the characters. Further, it tries to record the characters regions in a processed binary image and with the help of template matching the output is obtained as a set of string. Once the string is achieved the obtained string is further matched with the set of stored