DocumentCode :
698936
Title :
Vehicle Number Plate Detection System for Indian Vehicles
Author :
Karwal, Hanit ; Girdhar, Akshay
Author_Institution :
CSE, GNDEC, Ludhiana, India
fYear :
2015
fDate :
13-14 Feb. 2015
Firstpage :
8
Lastpage :
12
Abstract :
An exponential increase in number of vehicles necessitates the use of automated systems to maintain vehicle information. The information is highly required for both management of traffic as well as reduction of crime. Number plate recognition is an effective way for automatic vehicle identification. Some of the existing algorithms based on the principle of learning takes a lot of time and expertise before delivering satisfactory results but even then lacks in accuracy. In the proposed algorithm an efficient method for recognition for Indian vehicle number plates has been devised. The algorithm aims at addressing the problems of scaling and recognition of position of characters with a good accuracy rate of 98.07%.
Keywords :
image matching; neural nets; traffic engineering computing; Indian vehicles; VNPD system algorithm; automatic vehicle identification; character position recognition; crime reduction; neural network; number plate recognition; template matching; traffic management; vehicle information; vehicle number plate detection system; Accuracy; Character recognition; Conferences; Correlation; Licenses; Neural networks; Vehicles; Neural Network; Normalized Cross Correlation; Sliding window; Template Matching; VNPD;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4799-6022-4
Type :
conf
DOI :
10.1109/CICT.2015.13
Filename :
7078657
Link To Document :
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