Title :
Study of license plate location system based on SVM
Author :
Liu, Yongchun ; Yu, Xiaohong ; Yang, Jing
Author_Institution :
Sch. of Autom. & Electron. Inf., Sichuan Univ. of Sci. & Eng., Zigong, China
Abstract :
A method for license plate location based on SVM is proposed in this paper. Firstly, the mathematical models of SVM are introduced, and then the feature extractions of license plate image are discussed, finally it is proved that this location method is very precise and efficient by experiments in VC development environment.
Keywords :
feature extraction; image processing; mathematical analysis; support vector machines; traffic information systems; SVM; VC development environment; feature extraction; license plate image; license plate location system; mathematical model; support vector machine; Character recognition; Hydrogen; Image recognition; Licenses; Mathematical model; Risk management; Support vector machine classification; Support vector machines; Vehicles; Virtual colonoscopy; Kernel Function; License Plate Location; Support Vector Machine;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487257
