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  Published Paper Details:

  Paper Title

REVIEW PAPER ON LICENSE PLATE RECOGNITION SYSTEM

  Authors

  Ashwin Pillai,  Adwin Manhar

  Keywords

Automatic License Plate Recognition (ALPR), License Plate (LP), License Plate Recognition (LPR)

  Abstract


There are an exceptionally enormous number of vehicles in India as it is a densely populated nation across the world. There is a need of distinguishing vehicles precisely. This framework identifies the picture of the number plate of a vehicle from video, the number is extracted utilizing various techniques and calculations. The framework is appropriate for passageways of gates like colleges. At the point when any vehicle passes by the framework, the video is caught and afterward, the video is changed over into pictures. The methods include grayscale which turns the colorful image into grayscale, binarization which further converts the grayscale image into the black and white version, license plate detection which is to search for the location of the license plate, character segmentation which separate the extracted characters individually and character recognition to transform the pixel into meaningful information. The system has demonstrated a more than a 90% success rate. In addition, the performance issue has been addressed by omitting some pre-processing such as contrast enhancement, noise filtering, and histogram equalization.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2012081

  Paper ID - 201441

  Page Number(s) - 768-770

  Pubished in - Volume 8 | Issue 12 | December 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ashwin Pillai,  Adwin Manhar,   "REVIEW PAPER ON LICENSE PLATE RECOGNITION SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 12, pp.768-770, December 2020, Available at :http://www.ijcrt.org/papers/IJCRT2012081.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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