Title :
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
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;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.356
