Efficient Video-Based ALPR System Using YOLO and Visual Rhythm

Victor Nascimento Ribeiro, Nina S. T. Hirata
1/4/2025
cs.CVcs.LGeess.IV

No official code found. Best implementation: victor-nasc/Vehicle-Licence-Plate-Recognition (5 stars, last commit 2025-01-03).

Abstract

Automatic License Plate Recognition (ALPR) involves extracting vehicle license plate information from image or a video capture. These systems have gained popularity due to the wide availability of low-cost surveillance cameras and advances in Deep Learning. Typically, video-based ALPR systems rely on multiple frames to detect the vehicle and recognize the license plates. Therefore, we propose a system capable of extracting exactly one frame per vehicle and recognizing its license plate characters from this singular image using an Optical Character Recognition (OCR) model. Early experiments show that this methodology is viable.

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Code Implementations(1)

victor-nasc/Vehicle-Licence-Plate-RecognitionCommunity100%

Research paper "Efficient License Plate Recognition in Videos Using Visual Rhythm and Accumulative Line Analysis"

51PythonJul 3, 20241 years ago

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Cite this paper

@article{ribeiro2025efficient,
  title  = {Efficient Video-Based ALPR System Using YOLO and Visual Rhythm},
  author = {Victor Nascimento Ribeiro and Nina S. T. Hirata},
  year   = {2025},
  eprint = {2501.02270},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.02270v2}
}

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