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
「
https://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:
https://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 a document with a DOI, the DOI permanent URL should always be presented (if using APA or Chicago format, present https://doi.org/DOI number). If using a citation format that does not specify DOI, the DOI permanent URL should still be presented as a priority.
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 ) 。
A Hybrid Approach for Automatic Vehicle License Plate Recognition
仲崇實 , Masters Advisor:李 錫 捷
繁體中文
汽車牌照自動辨識 ; 樣式辨認 ; 光學字元閱讀 ; 類神經網路 ; Vehicle License Plate Recognition ; Pattern Recognition ; OCR ; Neural Network


- 2. Kenji Kanayama, Yoshimasa Fujikawa, Koichi Fujimoto and Masanobu Horino, “Development of vehicle-license number recognition system using real-time image processing and its application to travel-time measurement,” The 41st IEEE VEHICULAR TECHNOLOGY CONFERENCE 1991, pp. 798-804, 1991
連結: - 5. J.R. Cowell, “Syntactic pattern recognizer for vehicle identification numbers,” Image and Vision Computing, Vol.13, No.1, pp. 13-19, 1995.
連結: - 7. J. Serra, Image Analysis and Mathematical Morphology, Academic Press, New York, 1982.
連結: - 8. J.R. Parker, Algorithms for Image Processing and Computer Vision, Wiley, New York, 1996.
連結: - 9. N. Otsu,”A threshold selection method from gray-level histo-grams,” IEEE Transaction on Systems, Man, and Cybernetics, Vol. SMC-9, pp.62-66, 1979.
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