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Survey for Vehicle Number Detection Technique

Ramneek Kaur1 , Supreet Kaur2

Section:Review Paper, Product Type: Journal Paper
Volume-8 , Issue-7 , Page no. 142-145, Jul-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i7.142145

Online published on Jul 31, 2020

Copyright © Ramneek Kaur, Supreet Kaur . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Ramneek Kaur, Supreet Kaur, “Survey for Vehicle Number Detection Technique,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.7, pp.142-145, 2020.

MLA Style Citation: Ramneek Kaur, Supreet Kaur "Survey for Vehicle Number Detection Technique." International Journal of Computer Sciences and Engineering 8.7 (2020): 142-145.

APA Style Citation: Ramneek Kaur, Supreet Kaur, (2020). Survey for Vehicle Number Detection Technique. International Journal of Computer Sciences and Engineering, 8(7), 142-145.

BibTex Style Citation:
@article{Kaur_2020,
author = {Ramneek Kaur, Supreet Kaur},
title = {Survey for Vehicle Number Detection Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2020},
volume = {8},
Issue = {7},
month = {7},
year = {2020},
issn = {2347-2693},
pages = {142-145},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5180},
doi = {https://doi.org/10.26438/ijcse/v8i7.142145}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i7.142145}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5180
TI - Survey for Vehicle Number Detection Technique
T2 - International Journal of Computer Sciences and Engineering
AU - Ramneek Kaur, Supreet Kaur
PY - 2020
DA - 2020/07/31
PB - IJCSE, Indore, INDIA
SP - 142-145
IS - 7
VL - 8
SN - 2347-2693
ER -

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Abstract

There are very large number of vehicles in India as it is very densely populated country across world. So, there is a need of detecting vehicles accurately using traffic management system. This system detects the image of the number plate of a vehicle from video using video processing with raspberry pi and the number is extracted using different methods and algorithms. The system is applicable for entrances of gates in colleges and highly restricted areas. When any vehicle passes by the system the video is captured and then video is converted into images. In this review paper for number plate recognition of vehicles we had discussed various techniques that were used in to achieve recognition

Key-Words / Index Term

Vehicle Number Plate Recognition

References

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