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Vehicle Identification Using Digital Camera

Poonam Rajendra Deshmukh1 , D.M.Chnadwadkar 2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 535-538, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.535538

Online published on Jul 31, 2018

Copyright © Poonam Rajendra Deshmukh, D.M.Chnadwadkar . 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: Poonam Rajendra Deshmukh, D.M.Chnadwadkar, “Vehicle Identification Using Digital Camera,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.535-538, 2018.

MLA Style Citation: Poonam Rajendra Deshmukh, D.M.Chnadwadkar "Vehicle Identification Using Digital Camera." International Journal of Computer Sciences and Engineering 6.7 (2018): 535-538.

APA Style Citation: Poonam Rajendra Deshmukh, D.M.Chnadwadkar, (2018). Vehicle Identification Using Digital Camera. International Journal of Computer Sciences and Engineering, 6(7), 535-538.

BibTex Style Citation:
@article{Deshmukh_2018,
author = {Poonam Rajendra Deshmukh, D.M.Chnadwadkar},
title = {Vehicle Identification Using Digital Camera},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {535-538},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2469},
doi = {https://doi.org/10.26438/ijcse/v6i7.535538}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.535538}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2469
TI - Vehicle Identification Using Digital Camera
T2 - International Journal of Computer Sciences and Engineering
AU - Poonam Rajendra Deshmukh, D.M.Chnadwadkar
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 535-538
IS - 7
VL - 6
SN - 2347-2693
ER -

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Abstract

All vehicles approximately in the world should have a license number as the identifier. In this growing technology more and more number of techniques are developed for license plate recognition. These methods are employed in many areas such as electronic payment systems, traffic activity monitoring and automatic vehicle ticketing. Many techniques are available for LPR System the last decade and various commercial products are reliable under some ideal environments, but it is still a compunction task to recognize license plates from difficult images. The our fully loaded system should work successfully under a different conditions such as sunny day, night time as well as with different colors and complex backgrounds. In this system one important thing is that when any vehicle break the signal captures it image and send the E-mail to that person “ you have break the signal and you should pay this amount of fine”. And also this system is useful at any authorized location for security purpose.

Key-Words / Index Term

Image processing, Raspberry pi, security

References

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