UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2303771


Registration ID:
511145

Page Number

h528-h534

Share This Article


Jetir RMS

Title

NUMBER PLATE DETECTION USING YOLO & TEXT EXTRACTION USING OCR

Abstract

Now a days there is a huge escalation in number of people that violate the traffic rules in India. There is high chance of accidents due to these violations. So, it is necessary to control this number. One way to do this is by rising the challan amount imposed by government. Our project is mainly focused on development of a system that detects a license plate and extracts text from it and feeds it to the system. The technique used here is YOLO (You Only Look Once) which helps in detecting the number plate from the input image. YOLO is the algorithm that works by the neural networks to identify real-time object detection. YOLO is a technique that uses the methods in the machine learning like Neural networks for the identification of the real time objects detection. With the help of this technique we will get accurate results in less time. This algorithm is used in different applications like text reading, traffic police, people and in share market. Once the number plate detection is done the next task is to extract the registration number of the vehicle. This can be done by using a technique called OCR (Optical Character Recognition). Optical Character Recognition (OCR) is used to convert an image of text into a machine-readable text format. After the both techniques are applied the output would be the registration number of the required vehicle. With the help of obtained registration number we’ll find out the details of the respective owner using a searching technique. The final output of the model will be the details of the vehicle owner details.

Key Words

ML (Machine Learning), YOLO (You Only Look Once), OCR (Optical Character Recognition).

Cite This Article

"NUMBER PLATE DETECTION USING YOLO & TEXT EXTRACTION USING OCR ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.h528-h534, March-2023, Available :http://www.jetir.org/papers/JETIR2303771.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"NUMBER PLATE DETECTION USING YOLO & TEXT EXTRACTION USING OCR ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pph528-h534, March-2023, Available at : http://www.jetir.org/papers/JETIR2303771.pdf

Publication Details

Published Paper ID: JETIR2303771
Registration ID: 511145
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: h528-h534
Country: VISAKHAPATNAM , Andhra Pradesh , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000131

Print This Page

Current Call For Paper

Jetir RMS