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  Published Paper Details:

  Paper Title

INDIAN LICENSE PLATE RECOGNITION USING DEEP LEARNING

  Authors

  Nadagani Ajesh Raj,  Durga Ganga Rao Kola

  Keywords

Optical Character Recognition, Convolutional Neural Networks, Automatic License Plate Recognition, License Plate Recognition, Mean Average Precision.

  Abstract


The detection and recognition of a license plate is especially an important aspect of Automatic License Plate Recognition (ALPR). In this work, a deep learning model is used to address the problem of license plate digits detection and recognition. The Convolutional Neural Network (CNN) layers are used to detect the license plate. Due to the dust and sand particles on license plates, the recognition of characters is difficult, so for optimal recognition, Optical Character Recognition (OCR) is used. The objective is to detect and recognize the Indian car license plate digits. Different sets of car images are used for training the Convolutional Neural Networks. By using CNN, the system achieves approximately 99.5% mean Average Precision (mAP) with a plate loss of 0.01627 in the detection of the Indian car license plate in real-time.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2211272

  Paper ID - 227709

  Page Number(s) - c358-c363

  Pubished in - Volume 10 | Issue 11 | November 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Nadagani Ajesh Raj,  Durga Ganga Rao Kola,   "INDIAN LICENSE PLATE RECOGNITION USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 11, pp.c358-c363, November 2022, Available at :http://www.ijcrt.org/papers/IJCRT2211272.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


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