DocumentCode
2796591
Title
A novel car plate verification with adaptive binarization method
Author
Tan, Hua-Chun ; Chen, Hao
Author_Institution
Dept. of Transp. Eng., Beijing Inst. of Technol., Beijing
Volume
7
fYear
2008
fDate
12-15 July 2008
Firstpage
4034
Lastpage
4039
Abstract
A novel candidate verification algorithm for plate license localization is proposed in this paper. In the new method, auto-correlation curve, projection properties and character position features based on candidate binary image are combined together to verify the candidates. To improve the performance of verification, Otsupsilas method, Bersen method and Niblack method with post process are adaptive chosen to binarize images in different illumination. Experimental results show the efficiency of proposed method.
Keywords
feature extraction; image recognition; Otsu method; adaptive binarization method; autocorrelation curve; car plate verification; character position features; plate license localization; Autocorrelation; Cybernetics; Frequency; Image segmentation; Intelligent control; Licenses; Lighting; Machine learning; Machine learning algorithms; Road transportation; Auto-Correlation; Candidate verification; Image binarization; License plate extraction; Projection;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4621108
Filename
4621108
Link To Document