DocumentCode
2450418
Title
Application of Improved BP Algorithm in Vehicle License Plate Recognition
Author
Xu, Yuemei ; Zhang, Hong
Author_Institution
Sch. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou, China
fYear
2009
fDate
25-26 April 2009
Firstpage
514
Lastpage
517
Abstract
First, the background, significance and general implementation of vehicle license plate recognition (VLPR) are introduced. Based on analyzing the theory of neural network pattern recognition system, toward the limitation of standard BP, this thesis offers its improved method and a real recognition example. Finally, conclusion on its characteristic is given. The improved BP algorithm had some advantages in reaching high error precision, fast convergence speed, short recognition time and high recognition rate.
Keywords
backpropagation; neural nets; pattern recognition; traffic engineering computing; BP algorithm; neural network; pattern recognition system; vehicle license plate recognition; Biomembranes; Communication system traffic control; Convergence; Equations; Intelligent vehicles; Licenses; Neural networks; Neurons; Pattern recognition; Signal processing; BP Algorithm; neural network; pattern recognition; vehicle license plate recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3615-6
Type
conf
DOI
10.1109/JCAI.2009.126
Filename
5159054
Link To Document