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  Published Paper Details:

  Paper Title

AUTOMATED LICENSE PLATE RECOGNITION AND PARKING SYSTEM

  Authors

  R. Harikrishna,  J. V. Avinash,  S. Kabilan,  S. Suma

  Keywords

Vehicle Plate Detection, Defragmentation, Character Localization, OCR, Slot Allocation

  Abstract


Automatic License Plate recognition is one of the ways to identify vehicles using their number plate and it'll give all details about a particular vehicle. This process generally comprises three-way. The First step is the vehicle plate recognition, despite the size, angle of the number plate or exposure of the image. The next step is the segmentation of the characters and the last step is the recognition of the characters from the vehicle plate. This process comprises of ways like Image processing, Defragmentation, Resizing, and Character localization. Therefore, this design uncovers the basic idea of different algorithms needed for character recognition from the vehicle plate using OCR. This algorithm mentioned above helped in achieving character recognition of the license plate faster. A parking System is introduced, which contains the database of users along with their vehicle information. Also, the parking slot is allocated by comparing the characters from the vehicle plate and the registered vehicle number. An SMS will be sent with the allocated slot information when a registered vehicle enters.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2205154

  Paper ID - 219414

  Page Number(s) - b446-b454

  Pubished in - Volume 10 | Issue 5 | May 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  R. Harikrishna,  J. V. Avinash,  S. Kabilan,  S. Suma,   "AUTOMATED LICENSE PLATE RECOGNITION AND PARKING SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.b446-b454, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205154.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
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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