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Bibliographic Details
Main Authors: Ribeiro, Victor Nascimento, Hirata, Nina S. T.
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2501.02270
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author Ribeiro, Victor Nascimento
Hirata, Nina S. T.
author_facet Ribeiro, Victor Nascimento
Hirata, Nina S. T.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2501_02270
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Efficient Video-Based ALPR System Using YOLO and Visual Rhythm
Ribeiro, Victor Nascimento
Hirata, Nina S. T.
Computer Vision and Pattern Recognition
Machine Learning
Image and Video Processing
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.
title Efficient Video-Based ALPR System Using YOLO and Visual Rhythm
topic Computer Vision and Pattern Recognition
Machine Learning
Image and Video Processing
url https://arxiv.org/abs/2501.02270