DocumentCode :
518994
Title :
Notice of Retraction
The research of tilt detection algorithms in license plate recognition
Author :
Xiaoping Li ; Lin Zhang ; Yinxiang Li ; Hongjian Dong ; Yan Shi ; Lihua Zhang
Author_Institution :
Dept. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing, China
fYear :
2010
fDate :
11-13 May 2010
Firstpage :
360
Lastpage :
363
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

In current license plate recognition, there are many problems because of the complex, irregular motion and blur license plate. This paper presents a license tilt detection method, and to improve overall system performance and reliability, proposes some detection algorithms: gravity center method, Hough transform, the method of put vertexes into a line. Simply described their processes, at the same time compared their advantages and disadvantages, which provide the basis for license plate recognition.
Keywords :
Hough transforms; edge detection; image motion analysis; image recognition; image restoration; traffic engineering computing; Hough transform; blur license plate; gravity center method; irregular motion; license plate recognition; license tilt detection algorithms; Character recognition; Computer science; Detection algorithms; Gravity; Image recognition; Image segmentation; Image sensors; Intelligent transportation systems; Licenses; Vehicles; detection algorithm; detection method; license plate; license plate recognization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Trends in Information Science and Service Science (NISS), 2010 4th International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-1-4244-6982-6
Type :
conf
Filename :
5488591
Link To Document :
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