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Title: A grid-computing based multi-camera tracking system for vehicle plate recognition (English)
Author: Musa, Zalili Binti
Author: Watada, Junzo
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 42
Issue: 4
Year: 2006
Pages: 495-514
Summary lang: English
Category: math
Summary: There are several ways that can be implemented in a vehicle tracking system such as recognizing a vehicle color, a shape or a vehicle plate itself. In this paper, we will concentrate ourselves on recognizing a vehicle on a highway through vehicle plate recognition. Generally, recognizing a vehicle plate for a toll-gate system or parking system is easier than recognizing a car plate for the highway system. There are many cameras installed on the highway to capture images and every camera has different angles of images. As a result, the images are captured under varied imaging conditions and not focusing 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 installed this process with grid computing as a solution. At the end of this paper, we will discuss our obtained result from an experiment. (English)
Keyword: vehicle plate recognition
Keyword: grid computing
Keyword: recognition system
Keyword: tracking system
MSC: 68G35
MSC: 68T45
MSC: 68U10
MSC: 68U35
idZBL: Zbl 1249.68273
Date available: 2009-09-24T20:18:15Z
Last updated: 2015-03-29
Stable URL:
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