stands for Digital Object Identifier
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/」
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 ） 。
-  Y. Wang, L. Liu and Y. Zhao, "Traffic sign detection based on fixed color combination and intensity restraint," International Symposium on Computer Network and Multimedia Technology, Wuhan, pp. 1-5, 18-20 Jan.2009.
-  Y. Aoyagi and T. Asakura, " A study on traffic sign recognition in scene image using genetic algorithms and neural networks," in Proc. 22nd IEEE Int. Conf. Ind. Electron., vol. 3, Taipei, Taiwan, pp. 1838–1843, 5-10 Aug.1996.
-  M. Heath, S. Sarkar, T. Sanocki, and K. Bowyer, " A robust visual method for assessing the relative performance of edge-detection algorithms," IEEE J. Pattern Anal. Mach. Intell, vol. 19, no. 12, pp. 1338–1359, 1997.
-  L. Pacheco, J. Batlle and X. Cufi, " A New Approach to Real Time Traffic Sign Recognition Based on Colour Information," Proceedings of the Intelligent Vehicles Symposium, pp. 339-344, 24-26 Oct.1994.
-  A. Vavilin and K. Jo, " Automatic Detection and Recognition of Traffic Signs using Geometric Structure Analysis," SICE-ICASE International Joint Conference, Busan, pp. 1451-1456, 18-21 Oct.2006.
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