Title :
A novel algorithm of license plates automatic location based on texture feature
Author :
Chen, Zhen-Xue ; Liu, Cheng-Yun ; Chang, Fa-Liang ; Xu, Jian-Guang
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
Abstract :
Locating the vehicle license plate plays an important role in the vehicle license plate automatic recognition system. A novel locating approach based on the texture feature is presented in this paper. Analyzing the texture of plate image, this paper makes one dimension cycle clear method for map of horizontal projection. This method can effectively filter the noise and clutter around car license plates, and accurately locate them. A set of experiments has been performed to prove the robustness and accuracy of the approach. For many images collected from a large traffic crossing, the experimental results show that 98.5% of them are correctly segmented.
Keywords :
filtering theory; image recognition; image texture; road traffic; clutter filtering; noise filtering; one dimension cycle clear method; plate image texture analysis; vehicle license plate automatic recognition system; vehicle license plate location; Filters; Histograms; Image edge detection; Image enhancement; Image texture analysis; Licenses; Neural networks; Noise robustness; Noise shaping; Vehicles; ITS (Intelligent Transport System); image enhancement; one dimension cycle clear (1-DCC); projection; texture feature; vehicle license plate location;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262747