Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
| dc.creator | Xu, Jinchong | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/7051 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Bus route number recognition in Hong Kong | en_US |
| dcterms.abstract | This thesis presents the methodologies for creating a bus route number plate recognition system in Hong Kong. This system can first read the video, and then cut the video into images, later by HOG feature extraction and Ada Boost training to locate the bus route number plate, and keep tracking the bus route number plate as well, then segment the characters on the bus route number plate, finally recognizes each character and displays the result on the screen. This thesis not only explains each step in detail, but also introduces relative principles and operators at the same time. In addition, the thesis provides the best choice of methods in each step for this dissertation, and provides the reason and result compare. The system could show the number of bus route number and track the bus route number plate while displaying the video. | en_US |
| dcterms.extent | xii, 67 leaves : ill. ; 30 cm. | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2013 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Optical character recognition devices. | en_US |
| dcterms.LCSH | Image processing -- Data processing. | en_US |
| dcterms.LCSH | Image processing -- Digital techniques. | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.LCSH | Bus lines -- China -- Hong Kong. | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b26271102.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.7 MB | Adobe PDF | View/Open |
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