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NUMBER PLATE TRACKING SYSTEM

  • Unique Paper ID: 164743
  • Volume: 10
  • Issue: 12
  • PageNo: 1571-1573
  • Abstract:
  • This paper presents the design and implementation of an automated Number Plate Tracking System (NPTS) using advanced image processing and machine learning techniques. The system captures images or video frames from surveillance cameras and processes them to detect and recognize vehicle number plates accurately and efficiently. Key components include image acquisition, pre-processing, plate localization, character segmentation, and optical character recognition (OCR) using convolutional neural networks (CNNs). Evaluations on diverse datasets under various conditions demonstrate high accuracy and robustness, making the NPTS suitable for real-world applications such as vehicle registration, law enforcement, and toll collection. This work outlines a reliable methodology for developing NPTS and suggests potential future improvements through advanced machine learning models and larger datasets.
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  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 12
  • PageNo: 1571-1573

NUMBER PLATE TRACKING SYSTEM

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