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A grid-computing based multi-camera tracking system for vehicle plate recognition. (English) Zbl 1249.68273
Summary: There are several ways to implement a vehicle tracking system such as recognizing a vehicle’s color, shape or license plate. In this paper, we concentrate on recognizing a vehicle on a highway through license plate recognition. Generally, recognizing a license plate for a toll-gate system or parking system is easier than recognizing a license plate for a highway system. There are many cameras installed on a highway to capture images and every camera has different image angles. As a result, images are captured under various imaging conditions not focused on the vehicle itself. Therefore, we need a system that is able to recognize the object first. However, such a system consumes a large amount of time to complete the whole process. To overcome this drawback, we use grid computing. At the end of this paper, we discuss our results by considering an experiment.

68T45 Machine vision and scene understanding
68U10 Computing methodologies for image processing
68U35 Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.)
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