Title :
Automatic license plate detection based on connected component analysis and template matching
Author :
Ligang, Miao ; Yongjuan, Yue
Author_Institution :
Coll. of Comput. & Commun. Eng., Grad. Sch. of Chinese Acad. of Sci., Beijing, China
Abstract :
This paper proposes a novel method for license plate(LP) detection from images with complex background. First, it segments images with an adaptive binarization method to avoid the problem that nonuniform illumination creates, and some undesired image areas are removed by limiting the range of region properties of connected components(CCs). Secondly, CC analysis is used to construct nearest neighbor chain(NNC) for detection of candidate LP regions(LP-NNC). The average height and direction of each LP-NNC is estimated to deal with images acquired from different view or distances. Thirdly, two variable-length square templates are designed to match horizontal and vertical projections of LP image gradients. They are combined to verify all candidate LP regions, and the most possible region is selected as the true LP region. Experiment results on various types of LP images show that this proposed method has achieved desired detection result for complex scenes.
Keywords :
image matching; image segmentation; object detection; traffic engineering computing; adaptive binarization method; automatic license plate detection; candidate LP region detection; complex scenes; connected component analysis; horizontal projections; image gradients; image segmentation; intelligent transport system; nearest neighbor chain; template matching; variable-length square templates; vertical projections; Computer science; Image color analysis; Image edge detection; Image segmentation; Licenses; Lighting; Pattern recognition;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
DOI :
10.1109/ICICIP.2011.6008421
