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A Survey on Detecting License Plates from Low Quality Images

by S. Neeraja, S. Rathi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 27
Year of Publication: 2018
Authors: S. Neeraja, S. Rathi
10.5120/ijca2018916643

S. Neeraja, S. Rathi . A Survey on Detecting License Plates from Low Quality Images. International Journal of Computer Applications. 180, 27 ( Mar 2018), 9-15. DOI=10.5120/ijca2018916643

@article{ 10.5120/ijca2018916643,
author = { S. Neeraja, S. Rathi },
title = { A Survey on Detecting License Plates from Low Quality Images },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2018 },
volume = { 180 },
number = { 27 },
month = { Mar },
year = { 2018 },
issn = { 0975-8887 },
pages = { 9-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number27/29143-2018916643/ },
doi = { 10.5120/ijca2018916643 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:01:55.601966+05:30
%A S. Neeraja
%A S. Rathi
%T A Survey on Detecting License Plates from Low Quality Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 27
%P 9-15
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In real-time, identifying license plates from low quality images affected by multiple factors, such as severe brightness condition, tough background, distinct weather conditions, darkness, and appearance distortions is a difficult process. This paper gives a comparative analysis of different license plate detection (LPD) techniques in terms of their detection ratios. Super-resolution and enhancement techniques are discussed to overcome the problems faced by license plate recognition systems such as detecting license plates from blurred images. It is realized that image enhancement techniques are superior to image super-resolution techniques for improving low quality images.

References
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Index Terms

Computer Science
Information Sciences

Keywords

LPD low resolution super-resolution image enhancement

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