Multiple License Plate Location Identification Using the Optical Flow Algorithm and Blob Analysis

Object tracking is more difficult and tricky to surveillance in real time. This proposed work deals with the tracking of moving object in a sequence of frames and it also determines the velocity of the object. In this work algorithms are developed for improving the image quality, segmentation, feature extraction and for identifying the velocity. The algorithms developed are implemented and evaluated using MATLAB. The image quality of the video frame is obtained by applying certain noise removal filters. Next, identifying the moving objects from the portion of the video frame is performed using the background subtraction technique based on frame difference. However, there are usually more than one vehicle appear within an image frame simultaneously in practical cases. That is, They need to locate multiple license plates before identifying their license plate numbers. In this paper, They used the optical flow algorithm and Blob analysis to locate the multiple license plates in video Sequences . They use video data of surveillance systems from real cases to show the capability of the proposed method. From the experimental results, our method supplies exhilarating capability to locate multiple license plates.