Title :
A Hybrid License Plate Extraction Method for Complex Scenes
Author :
Le, Wangchao ; Li, Shaofa
Author_Institution :
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Canton
Abstract :
This paper presents a hybrid method for extracting license plates from cluttered images. The proposed algorithm consists of three major components. First, a line detection method is proposed to detect straight lines in the edge map. Second, a weight assignment scheme is applied to obtain a weight based edge density map. Regions with the densest edges are selected as candidates. Third, all candidate plates will pass to a refining selection procedure. One candidate that best satisfy the color constraints becomes the output
Keywords :
edge detection; feature extraction; image colour analysis; cluttered images; color constraints; license plate extraction; refining selection; straight line detection; weight assignment; weight based edge density map; Computer science; Control systems; Data mining; Image edge detection; Intelligent transportation systems; Layout; Licenses; Monitoring; Radiofrequency identification; Vehicles;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.83
