Licence Plate Identification: A Comparative Study Using Image Processing and Frame Grabbing

Abstract

This paper presents a comparison between two approaches to license plate detection using image processing and frame grabbing. The first approach uses image processing techniques such as segmentation, feature extraction, and pattern matching to detect license plates from digital images. The second approach uses frame grabbing techniques to detect license plates from moving video frames. The results of the two approaches are compared and discussed in terms of accuracy, speed, and ease of implementation. The results show that frame grabbing techniques provide better accuracy and speed in license plate detection, but require more effort in terms of implementation. The paper also provides an overview of existing approaches and presents a discussion on the challenges and opportunities of license plate detection.