動態多標的車牌辨識系統之研究

魏銪志

44.197.230.180，Hello！

Close
Search Quick Search Advanced Search Publication Search	Personal Service Member Login Searching History Use Bonus Card SYMSKAN
Browse Browse by University of Graduate Thesis Browse by Pinyin of Graduate Thesis Browse by Conference Proceedings Topic Browse by Conference Proceedings Publisher Browse by Pinyin of Conference Proceedings Browse by eBook Category Browse by eBook Topic Browse by eBook Publisher
Customer Services Authorize Airiti Recommend a Journal

Search Symbol (Half-width)	Description of Search Symbols
Space	"AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " )	Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" ： " image process "
?	Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
*	Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )
AND、OR、NOT	Boolean logic combinations of key words is a skill used to expand or refine search parameters. (1) AND (1) AND: Refines search parameters (2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters

DOI stands for Digital Object Identifier （ D igital O bject I dentifier ） ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「http://dx.doi.org/」「 http://dx.doi.org/ 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ）。

Data Source

College of Informatics > Department of Management Information Systems
Social Sciences > Management

Bibliography Management Tool

Related Links

Report an Issue

Search for full text in Holdings

There is no full-text available at the moment. Airiti would like to request author's authorization. I would like to provide authorization.

動態多標的車牌辨識系統之研究

Motion Based Multiple Vehicle License Plate Recognition

魏銪志 , Masters　　Advisor：李錫捷　　

繁體中文

汽車牌照自動辨識；樣型識別；光學字元閱讀；類神經網路；影像處理； Vehicle License Plate Recognition ； Pattern Recognition ； Neural Networks ； Vehicle Identification Number ； Computer Vision ； SimNet

Abstract │ Reference (31) │ Times Cited (15) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

License plate recognition systems may be deployed in a variety of applications such as, highway toll systems, traffic control systems, or parking lot management systems. Due to the volatile work environments, it is not practical for a system to claim 100% recognition rate. However, under the circumstances where the environment is controlled to a certain degree, it is not uncommon for the vehicle license plate recognition rate to reach the level of 90s.
           Most commonly available license plate recognition systems recognize only static pictures. In this study, a motion-based multiple targets vehicle license plate recognition prototype is proposed. Multiple-frames of pictures are used for recognition. As a result, the time for preprocessing stages is critical and developing time-efficient algorithms become more important. This prototype is designed mainly for specific car-search that should be helpful for many organizations such as police departments or highway patrol departments.
           In this study, a real time hybrid approach is proposed for motion-based multiple targets vehicle license plate recognition.  A system prototype will be built which can be used independently or cooperating with current vehicle identification system in identifying a vehicle.  The prototype consists of four major modules, including the module for image processing, the module for license plate region identification, the module for character extraction, and the module for pattern recognition called SimNet.

Reference ( 31 ) 〈TOP〉

[6] M. J. Dalgeish, “Vehicle Detection for Advanced Transport Telematics”, Road Traffic Monitoring and Control, 1994, pp.164-167.
連結：
[13] 仲崇實, 「影像處理與類神經乏晰方法於車輛牌照自動辨識之應用研究」, 私立元智大學資訊研究所, 碩士論文, 1998.
連結：
[15] S. Bohrer, T. Zielke, V. Freiburg, “An Integrated Obstacle Detection Framework for Intelligent Cruise Control on Motorways”, Intelligent Vehicles ''95 Symposium, 1995, pp. 276-281.
連結：
[16] M. Betke, E. Haritaoglu, L. S. Davis, “Multiple Vehicle Detection and Tracking in Hard Real-Time”, Intelligent Vehicle Symposium, 1996, pp. 351-356.
連結：
[18] N. Otsu, “A Threshold Selection Method from Gray-Level Historgams”, IEEE Transactions on System,Man,and Cybernetics, vol. SMC-9, 1979, pp. 62-66.
連結：

Times Cited (15) 〈TOP〉

Altmetrics

〈TOP〉

E-mail ：

When an article is available to download, a notice will be sent to your mailbox address.

E-mail ：