Number Plate Recognition using OCR

Authors(3) :-Sarasam Jagadeesh Reddy, Sayeed Ahmed, Potta Akshay

Technology has the power to streamline and improve the efficiency of a job over human’s, in this paper we go through the problem of solving a particular problem in the Indian road systems i.e Toll booths. The paper discusses a rather simple and cost efficient method to streamline the process of toll booths with the help of detecting vehicle registration number using OCR to overcome the cost factor of present day systems by using IP cameras. Generally human intervention may cause some financial malpractices, which leads to huge loss of revenue. So to overcome this problem, there is a requirement of a system which automatically detects the number plates of those vehicles. So the main intention of this project is to get the registration information from the image efficiently.

Authors and Affiliations

Sarasam Jagadeesh Reddy
Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India
Sayeed Ahmed
Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India
Potta Akshay
Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India

Number Plate Recognition, OCR, Toll Booth.

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Publication Details

Published in : Volume 5 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 466-471
Manuscript Number : CSEIT1952123
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sarasam Jagadeesh Reddy, Sayeed Ahmed, Potta Akshay, "Number Plate Recognition using OCR", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.466-471, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952123
Journal URL : http://ijsrcseit.com/CSEIT1952123

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