An Efficient Methodology of Automatic Vehicle Number Plate Detection Using Deep Learning

Authors

  • Anamika Rakshe Ramrao Adik Institute of Technology, D.Y. Patil Vidyapeeth, Nerul, Navi Mumbai
  • Nilima Dongre Ramrao Adik Institute of Technology, D.Y. Patil Vidyapeeth, Nerul, Navi Mumbai

Keywords:

ANPR, Character Segmentation, Convolutional Neural Networks, Edge Detection, License Plate Extraction, Morphology, OCR

Abstract

Using advanced computer vision techniques, Vehicle Number Recognition (VNR) can determine a vehicle's unique identifier in real-time video. An efficient Vehicle Number Recognition System will be developed and implemented to facilitate the automated collection of toll taxes. The device will first try to determine what kind of automobile it is before snapping a photo of the front of the vehicle. Localization and partitioning of characters on a vehicle's license plate. The system works best with monochrome images, but it can still decipher the license plate's color. The effectiveness of the system is evaluated using real-world photos and videos once it has been constructed and simulated using deep learning and other technologies. Additionally, the vehicle data (including the date, time, and toll amount) is tracked by the database. Features have been extracted and classified using deep learning. For experimental analysis, we employed both synthetic datasets and real-time photographs of car registration numbers. Data Acquisition and pre-processing methods including color space conversion, cropping, filtering for noise reduction and enhancement are all carried out using the suggested framework. The histogram segmentation technique of picture segmentation is carried out via several feature extraction selection strategies.  Classification in deep learning is used to address issues with many hidden layers and unique optimization strategies. Ultimately, the system's effectiveness is demonstrated by contrasting the suggested system with other cutting-edge techniques and algorithms. The outcomes of the trial demonstrate that the system's design can correctly recognize an automobile's license plate in both stationary and moving images.

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Published

12.01.2024

How to Cite

Rakshe, A. ., & Dongre, N. . (2024). An Efficient Methodology of Automatic Vehicle Number Plate Detection Using Deep Learning. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 640 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/4548

Issue

Vol. 12 No. 12s (2024)

Section

Research Article

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