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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.creatorXu, Wendi-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/6521-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleA comparative study of license plate localization methods with elevated video imagesen_US
dcterms.abstractWith the rapid growth in the number of vehicles in Hong Kong, it is necessary to develop a license plate recognition system to survey and monitor these vehicles. Since the precise license plate localization has a beneficial influence on the accuracy and the running speed of the license plate recognition system, choosing an appropriate localization method is important and necessary. This thesis presents a comparative study of license plate localization methods. A survey of the license plates in Hong Kong is conducted in this thesis. Several characteristics of the license plates and the vehicles are obtained from the survey. According to these characteristics, three localization methods are selected. These three localization methods are the color-based localization method, the mathematical morphology-based localization method and the frequency projection-based localization method. Numbers of vehicle images are processed by these three localization methods to locate the license plates. The results of the localizations are compared and analyzed in three aspects, which are the accuracy, the adaptability and the efficiency. After the comparison, the advantages and disadvantages of three localization methods are obtained. The color-based localization method has an ability of high running speed, and it also has drawbacks of bad accuracy and weak adaptability. The mathematical morphology-based localization method has good accuracy, and it also has bad efficiency and weak adaptability. The frequency projection-based localization method has advantages of high running speed and strong adaptability, and it also has a disadvantage of bad accuracy. Comparing three localization methods, the accuracy of the mathematical morphology-based localization method is the greatest and the accuracy of the frequency projection-based localization method is the lowest. In terms of adaptability, the frequency projection-based localization method has the strongest adaptability among three localization methods and the color-based localization method has the worst one. In terms of efficiency, the frequency projection-based localization method is the fastest method and the mathematical morphology-based localization method is the slowest one. According to the conclusions shown above, some proposals are given to implement an appropriate localization method for the license plates in Hong Kong.en_US
dcterms.extentx, 75 leaves : ill. (chiefly col.) ; 30 cm.en_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2012en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHAutomobile license plates -- China -- Hong Kong -- Identification.en_US
dcterms.LCSHImage processing -- Data processing.en_US
dcterms.LCSHImage processing -- Digital techniques.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/6521