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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Automatic Number Plate Recognition using OpenCV
Authors Name: M Y V Nagesh , Renuka P , Sravanthika S , Pavan Balaji T , Ekagrath Chauhan M, Roopesh I
Unique Id: IJSDR2005087
Published In: Volume 5 Issue 5, May-2020
Abstract: Traffic law infringement has been perceived as a significant reason for street mishaps in many pieces of the world with lion's share happening in creating nations. Indeed, even with the nearness of rules and guidelines specified against this, violators are still on the expansion. Automatic Number Plate Recognition (ANPR) framework is a real-time embedded system which automatically recognize license plate numbers. It gives an elective way to ANPR utilizing an open-source library known as openCV. This framework incorporates different activities, for example, capturing images, restricting the number cushion, shortening characters and OCR from alphanumeric characters. The fundamental thought of this framework is to plan and create viable picture handling methods and calculations to confine the tag in the caught picture, to separate the characters from that number plate and to distinguish each character of the section by utilizing the Open Computer Vision Library.
Keywords: Number plate, Open CV(Computer Vision), Python, Optical Character Recognition, Pattern Recognition, K-NN Algorithm.
Cite Article: "Automatic Number Plate Recognition using OpenCV", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 5, page no.539 - 545, May-2020, Available :http://www.ijsdr.org/papers/IJSDR2005087.pdf
Downloads: 000336258
Publication Details: Published Paper ID: IJSDR2005087
Registration ID:191858
Published In: Volume 5 Issue 5, May-2020
DOI (Digital Object Identifier):
Page No: 539 - 545
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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