Title :
Study and application of path ambiguity based on SVM and license plate recognition
Author :
Zhu, Gengxian ; Wang, Xiuli
Author_Institution :
Syst. Eng. Inst., Univ. of Tianjin, Tianjin, China
Abstract :
This paper studied on the ambiguous path identification system based on license plate recognition technology, studied on the basic principle and application of the state discrimination of license plate matching vectors based on support vector machine (SVM), and proved that the discriminant effect of SVM is better than discriminant analysis and K-nearest neighbor (KNN) method by experiments. Finally this paper provided the distribution algorithm for the toll of ambiguous paths based on SVM.
Keywords :
pattern classification; pattern matching; road traffic; statistical analysis; support vector machines; traffic engineering computing; K-nearest neighbor; SVM; ambiguous path identification system; discriminant analysis; distribution algorithm; license plate recognition; plate matching; support vector machine; Gallium nitride; Investments; Support vector machines; KNN; SVM; discriminant analysis; license plate recognition; path ambiguity;
Conference_Titel :
Circuits,Communications and System (PACCS), 2010 Second Pacific-Asia Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-7969-6
DOI :
10.1109/PACCS.2010.5626903
