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An Improved Template Matching Algorithm for Car License Plate Recognition

by Shreeja Chakraborty, Ranjan Parekh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 25
Year of Publication: 2015
Authors: Shreeja Chakraborty, Ranjan Parekh
10.5120/20962-3670

Shreeja Chakraborty, Ranjan Parekh . An Improved Template Matching Algorithm for Car License Plate Recognition. International Journal of Computer Applications. 118, 25 ( May 2015), 16-22. DOI=10.5120/20962-3670

@article{ 10.5120/20962-3670,
author = { Shreeja Chakraborty, Ranjan Parekh },
title = { An Improved Template Matching Algorithm for Car License Plate Recognition },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 25 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 16-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number25/20962-3670/ },
doi = { 10.5120/20962-3670 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:02:38.496200+05:30
%A Shreeja Chakraborty
%A Ranjan Parekh
%T An Improved Template Matching Algorithm for Car License Plate Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 25
%P 16-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An improved Template Matching algorithm is proposed to recognize license plate characters. The license plate recognition system has two main parts: Segmentation of license plate characters and Recognition of characters from the plate. Character Segmentation is performed using connected component analysis. For recognition of number plate, a new algorithm is proposed, which uses dynamically generated license plate characters as database template and recognition is done using correlation technique. The algorithm was tested with 100 images of Indian Vehicles taken under various background conditions. The experimental result shows that accuracy obtained is comparable to the best figures reported in literature.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Correlation Template Matching Character Segmentation License Plate Recognition