A Vehicle License Plate Detection Method Based on Clustering Analysis

Author

Wang, Hui ; Liu, Gang ; Ke, Hongchang ; Song, Liufu

Author_Institution

Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China

fYear

2012

fDate

11-13 Aug. 2012

Firstpage

1413

Lastpage

1416

Abstract

For the problem of vehicle license plate detection in complex background image, a vehicle license plate detection method based on clustering analysis theory is propose. Based on FCM (Fuzzy C-Mean) clustering algorithm, For the features of vehicle license plate, FCM algorithm is improved to effective segment the image, then according to the features of license plate in image, using progressive scanning mode, find the horizontal edge probability density of each pixel can be obtained to detect the area of vehicle license plate. In terms of testing time and testing effect the method is achieved better results.

Keywords

image segmentation; object detection; pattern clustering; probability; rough set theory; traffic engineering computing; FCM clustering algorithm; clustering analysis theory; complex background image; fuzzy c-mean; horizontal edge probability density; image segmentation; progressive scanning mode; vehicle license plate detection method; Algorithm design and analysis; Clustering algorithms; Educational institutions; Image edge detection; Image segmentation; Licenses; Vehicles; clustering algorithm; edge probability density; vehicle license plate detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Service System (CSSS), 2012 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0721-5

Type

conf

DOI

10.1109/CSSS.2012.356

Filename

6394594