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A Review of Recognition Technique Used Automatic License Plate Recognition System

by Sheetal Rani, Pawan Kumar Dahiya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 17
Year of Publication: 2015
Authors: Sheetal Rani, Pawan Kumar Dahiya
10.5120/21630-4938

Sheetal Rani, Pawan Kumar Dahiya . A Review of Recognition Technique Used Automatic License Plate Recognition System. International Journal of Computer Applications. 121, 17 ( July 2015), 6-9. DOI=10.5120/21630-4938

@article{ 10.5120/21630-4938,
author = { Sheetal Rani, Pawan Kumar Dahiya },
title = { A Review of Recognition Technique Used Automatic License Plate Recognition System },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 17 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number17/21630-4938/ },
doi = { 10.5120/21630-4938 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:39.561417+05:30
%A Sheetal Rani
%A Pawan Kumar Dahiya
%T A Review of Recognition Technique Used Automatic License Plate Recognition System
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 17
%P 6-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automatic License Plate Recognition (ALPR) is the extraction of vehicle license plate information from an image or a sequence of images or video as input. A learning based approach plays a very important role in recognition process. ALPR system consists of four modules named as Acquisition of an image, localization of license plate, segmentation of an image and character recognition of license plate. Recognition module helps in recognition of character that is present on license plate. Template Matching, Neural network (NN), Support Vector Machine (SVM) etc. can be used as recognition process. This paper presents different methods of character recognition in an Automatic License Plate Recognition system (ALPR). Recognition techniques are presented along with their advantages and disadvantages. The methods are categorized according to their response, accuracy and faster response. The future foresees for researchers are also given at the end of the paper.

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Index Terms

Computer Science
Information Sciences

Keywords

Automatic License Plate Recognition (ALPR) Artificial Neural network (ANN) Neural Network (NN) Support Vector Machine (SVM) Optical Character Recognition (OCR).

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