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Reseach Article

Various Techniques for Number Plate Recognition- A Review

by Anisha Goyal, Rekha Bhatia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 143 - Number 11
Year of Publication: 2016
Authors: Anisha Goyal, Rekha Bhatia
10.5120/ijca2016910471

Anisha Goyal, Rekha Bhatia . Various Techniques for Number Plate Recognition- A Review. International Journal of Computer Applications. 143, 11 ( Jun 2016), 25-27. DOI=10.5120/ijca2016910471

@article{ 10.5120/ijca2016910471,
author = { Anisha Goyal, Rekha Bhatia },
title = { Various Techniques for Number Plate Recognition- A Review },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 143 },
number = { 11 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 25-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume143/number11/25122-2016910471/ },
doi = { 10.5120/ijca2016910471 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:46:08.124253+05:30
%A Anisha Goyal
%A Rekha Bhatia
%T Various Techniques for Number Plate Recognition- A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 143
%N 11
%P 25-27
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The number plate reorganization is the system which will recognize the characters from number plates. The techniques of neural networks are applied in the previous techniques to recognize characters from the number plate. In this work, technique will be reviewed which will recognize number plates from a distance and also distorted number plates. The reviewed techniques will be based on morphological, spilt and merge segmentation. In this work, it is analyzed that these techniques perform well in terms of false positive rate.

References
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Index Terms

Computer Science
Information Sciences

Keywords

LPR Optical Character Recognition (OCR) Split and Merge Segmentation Boundary detection