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Study and application of path ambiguity based on SVM and license plate recognition

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2 Author(s)
Gengxian Zhu ; Syst. Eng. Inst., Univ. of Tianjin, Tianjin, China ; Xiuli Wang

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.

Published in:

Circuits,Communications and System (PACCS), 2010 Second Pacific-Asia Conference on  (Volume:1 )

Date of Conference:

1-2 Aug. 2010