Title :
Novel and fast algorithms of license plate locations and extractions
Author :
Li, Yucheng ; Wang, Mushu
Author_Institution :
Dept. of Autom., North China Univ. of Technol., Beijing, China
Abstract :
For the limitation of current license plate location algorithms, present an algorithm of the license plate location based on image energy and its practical formulas. Introduce the algorithm of extraction and methods to verify region of license plate. It takes full advantage of characteristics of the license plate, such as complicated textures, sharp-cut contrast and so on. It also has the advantages to avoid the difficulty to choose a threshold and the influence of colors changes due to light. A large number of experiments demonstrate that the algorithm is of higher accuracy and of fast speed.
Keywords :
feature extraction; image recognition; image texture; feature extraction algorithm; image energy; image textures; license plate location fast algorithm; sharp cut contrast; Automation; Character recognition; Color; Data mining; Image recognition; Image segmentation; Instruments; Intelligent systems; Licenses; Vehicles; image energy; license plate extraction; license plate location; license plate texture;
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
DOI :
10.1109/ICINFA.2010.5512273