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Reseach Article

Highly Adaptive Indian High Security Vehicle Number Plate Recognition

by Neha Arora, Lalit Jain, Puran Gour
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 16
Year of Publication: 2015
Authors: Neha Arora, Lalit Jain, Puran Gour
10.5120/ijca2015907198

Neha Arora, Lalit Jain, Puran Gour . Highly Adaptive Indian High Security Vehicle Number Plate Recognition. International Journal of Computer Applications. 130, 16 ( November 2015), 28-33. DOI=10.5120/ijca2015907198

@article{ 10.5120/ijca2015907198,
author = { Neha Arora, Lalit Jain, Puran Gour },
title = { Highly Adaptive Indian High Security Vehicle Number Plate Recognition },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 16 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 28-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number16/23295-2015907198/ },
doi = { 10.5120/ijca2015907198 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:25:48.894350+05:30
%A Neha Arora
%A Lalit Jain
%A Puran Gour
%T Highly Adaptive Indian High Security Vehicle Number Plate Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 16
%P 28-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The recognition techniques are very useful to build the automatic systems, especially it make electronic systems alive as an artificial intelligence devices. The recognition adds functionality of the existing working devices, which enhances the precision as well as reduces manpower, human errors and increases the speed of work. The recognition has many branches like face recognition, object recognition, colour recognition, character recognition etc. In this paper an algorithm is developed to recognize the Indian Vehicle High Security Number Plate with optimum accuracy. The whole recognition procedure has feature database preparation as well as recognition process. The accuracy of the proposed system model is quite high as compared to existing methodologies. The system is very simple and fast to work.

References
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Index Terms

Computer Science
Information Sciences

Keywords

High Security Vehicle Number Plate Character Recognition Artificial Intelligence and Segmentation