Paper Title:
License Plate Location Algorithm Based on Twin SVM
  Abstract

A method for license plate location based on Twin SVM is proposed in this paper. Firstly, the mathematical models of Twin 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.

  Info
Periodical
Advanced Materials Research (Volumes 271-273)
Edited by
Junqiao Xiong
Pages
118-124
DOI
10.4028/www.scientific.net/AMR.271-273.118
Citation
S. B. Gao, J. Ding, Y. J. Zhang, "License Plate Location Algorithm Based on Twin SVM", Advanced Materials Research, Vols. 271-273, pp. 118-124, 2011
Online since
July 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Han Han, Hou Jun Wang, Cheng Ti Huang, Bing Long
Abstract:Bus reliability is essential for maintaining the steady state of electrical network in power plants and power transformer stations....
823
Authors: Hai Xia Wei, Jie Zhu
Chapter 7: Frontiers of Computer Applicated in Building
Abstract:Based on the nonlinear regression theory of Support Vector Machine, SVM model was put forward to predict blasting vibration velocity by using...
4155
Authors: Ping Li, Xue Jun Li, Ling Li Jiang, Da Lian Yang
Chapter 8: Fault Diagnosis and Signal Processing
Abstract:Aimed at the nonlinear properties of motor rotor vibration signal,a fault diagnosis method based on kernel principal component analysis...
680
Authors: Jia Li Tang, Chen Rong Huang, Jian Min Zuo
Chapter 3: Mechanical Engineering and Computer Science
Abstract:Because of the complexity of gear working condition, there are non-linear relationship between characteristic parameters and fault types....
1169
Authors: Shi Jie Jia, Jian Ying Zhao, Yan Ping Yang, Nan Xiao
Chapter 17: Metrology and Measurement
Abstract:SVMs with kernel have been established with good generalization capabilities. This paper proposed a supervised product-image classification...
6019