UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2107552


Registration ID:
312998

Page Number

e350-e356

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Title

License Plate Identification Based on Image Processing Techniques

Abstract

This paper presents an image segmentation technique to segment out the Region of Interest (ROI) from an image, in this study; the ROI is the vehicle license plate. Vehicle number plate recognition is the most exciting and challenging research topic from past few years. Number plates are of different shape, size and also have different color in different countries. In India the most common vehicle number plate used have yellow or white as background and black as foreground colour. In this paper we proposed a system for localization of number plate for vehicles in India and segmented the numbers as to identify each number separately. We generally focus on two steps; one is to locate the number plate and second is to segment all the number and letters to identify each number separately. The project is developed using MATLAB7.4.0.

Key Words

Number plate localization, Morphological operation, Character segmentation, Thresholding, Edge detection, Median filter

Cite This Article

"License Plate Identification Based on Image Processing Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.e350-e356, July-2021, Available :http://www.jetir.org/papers/JETIR2107552.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

"License Plate Identification Based on Image Processing Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppe350-e356, July-2021, Available at : http://www.jetir.org/papers/JETIR2107552.pdf

Publication Details

Published Paper ID: JETIR2107552
Registration ID: 312998
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: e350-e356
Country: Ahmednagar, maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162


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