DocumentCode
2287255
Title
A vehicle license plate location and correction method based the characteristics of license plate
Author
Jun, Fang ; Shuguang, Dai
Author_Institution
Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
fYear
2012
fDate
6-8 July 2012
Firstpage
42
Lastpage
46
Abstract
With the development of the city, more and more license plate recognition systems are applied to the intelligent transportation management. License plate recognition is divided into three steps: license plate location, character segmentation and character recognition, therefore, the positioning of the license plate is an essential step in the process of license plate recognition. Meanwhile, in the character segmentation process, the tilt angle plate influences the exact character segmentation. For different tilt angles of the plate, this paper presents a license plate location based on the feature information of the license plate, and a tilt angle correction method, Combined with the Hough Transform. A large number of experiments show that the method is better to solve the above problems, and adapt to a variety of license plate location and correction. The method has a strong environmental adaptability and robustness.
Keywords
Hough transforms; automated highways; character recognition; image segmentation; transportation; Hough transform; character recognition; character segmentation process; environmental adaptability; intelligent transportation management; license plate correction; license plate positioning; license plate recognition system; tilt angle correction method; tilt angle plate; vehicle license plate location; Character recognition; Gray-scale; Histograms; Image edge detection; Licenses; Transforms; Vehicles; Correction; Hough Transform; Location;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6357836
Filename
6357836
Link To Document