多標的汽機車車牌辨識系統之研究

王振興

3.236.65.63，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.

多標的汽機車車牌辨識系統之研究

A Multi-target Vehicle License Plate Recognition System

王振興 , Masters　　Advisor：李錫捷　　

繁體中文

車牌定位；車牌辨識；字元辨識；類神經網路； Vehicle License Plate Recognition ； License Plate Detection ； Character Recognition ； Neural Networks ； SimNet

Abstract │ Reference (20) │ Times Cited (11) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

The study of vehicle license plate recognition has been undergone for decades, but studies for identifying vehicle colors, license plates for multi-target vehicles, and license plates for motorcycles are still being greatly missed. It is considered important to study the license plate recognition also for motorcycles since in many countries the number of motorcycles is even more than that of cars. Since the pictures taken by surveillance cameras hardly contain only a single vehicle, it is inevitable to analyze and identify all the vehicles appeared in the picture. Moreover, if the pictures take outside, it is also known for their complex background objects such as trees, billboards, traffic signs, etc. which will impose difficulties for license plate recognition.
           In this study, a system is proposed for multi-target vehicle license plate recognition. This system is capable of recognizing license plate as well as the color of a vehicle with a complex background. The vehicle license plate recognition system may be divided into three major components, namely, license plate detection, character segmentation, and character recognition. To demonstrate the performance of the system, there are 894 different images used for testing. The average accuracy is 97.65% for the single-target license plate detection and 96.59% for the multi-target license plate detection. In addition, the average accuracy is 98.02% for the character recognition phase, and 82.96% for car colors classification phase.

Reference ( 20 ) 〈TOP〉

[1] T. Naito, T. Tsukada, K. Yamada, K. Kozuka, and S. Yamamoto, "Robust License-Plate Recognition Method for Passing Vehicles Under Outside Environment", IEEE Transactions on Vehicular Technology, Vol.49, No.6, November 2000.
連結：
[2] D.S. Kim, and S.I. Chien, "Automatic car license plate extraction using modified generalized symmetry transform and image warping", Kyungpook National University, School of Electronic and Electrical Engineering, Korea, 2001.
連結：
[5] 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，資訊管理研究所，碩士論文，民國87年。
連結：
[7] N. Otsu, "A Threshold Selection Method from Gray-Level Histograms", IEEE Transactions on System,Man,and Cybernetics, vol. SMC-9, 1979, pp.62-66.
連結：
[9] 魏銪志，「動態多標的車牌辨識系統之研究」，私立元智大學，資訊管理研究所，碩士論文，民國89年。
連結：

Times Cited (11) 〈TOP〉

Altmetrics

〈TOP〉

E-mail ：

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

E-mail ：