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Automatic Number Plate Recognition System (ANPR): A Survey

by Chirag Patel, Dipti Shah, Atul Patel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 9
Year of Publication: 2013
Authors: Chirag Patel, Dipti Shah, Atul Patel
10.5120/11871-7665

Chirag Patel, Dipti Shah, Atul Patel . Automatic Number Plate Recognition System (ANPR): A Survey. International Journal of Computer Applications. 69, 9 ( May 2013), 21-33. DOI=10.5120/11871-7665

@article{ 10.5120/11871-7665,
author = { Chirag Patel, Dipti Shah, Atul Patel },
title = { Automatic Number Plate Recognition System (ANPR): A Survey },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 9 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 21-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number9/11871-7665/ },
doi = { 10.5120/11871-7665 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:29:48.442890+05:30
%A Chirag Patel
%A Dipti Shah
%A Atul Patel
%T Automatic Number Plate Recognition System (ANPR): A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 9
%P 21-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Traffic control and vehicle owner identification has become major problem in every country. Sometimes it becomes difficult to identify vehicle owner who violates traffic rules and drives too fast. Therefore, it is not possible to catch and punish those kinds of people because the traffic personal might not be able to retrieve vehicle number from the moving vehicle because of the speed of the vehicle. Therefore, there is a need to develop Automatic Number Plate Recognition (ANPR) system as a one of the solutions to this problem. There are numerous ANPR systems available today. These systems are based on different methodologies but still it is really challenging task as some of the factors like high speed of vehicle, non-uniform vehicle number plate, language of vehicle number and different lighting conditions can affect a lot in the overall recognition rate. Most of the systems work under these limitations. In this paper, different approaches of ANPR are discussed by considering image size, success rate and processing time as parameters. Towards the end of this paper, an extension to ANPR is suggested.

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Index Terms

Computer Science
Information Sciences

Keywords

Automatic Number Plate Recognition (ANPR) Artificial Neural Network (ANN) Character Segmentation Image Segmentation Number Plate Optical Character Recognition

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