Automatic License Plate Recognition System for Parking Management and Access: A Computer Vision and OCR Approach

Automatic License Plate Recognition System for Parking Management and Access: A Computer Vision and OCR Approach

Bastos, Rodrigo Freire; Azevedo, Hebert Ferreira; Silva, João Pedro Almeida Miranda; Lins, Thâmara Raíssa Monteiro

Full article:

This paper proposes an automatic license plate recognition system using computer vision techniques and Optical Character Recognition (OCR). The proposed ALPR system aims to enhance license plate identification accuracy for parking lot management and access. Based on pre-processing algorithms for noise reduction and edge detection for ROI identification, the system utilizes actual plate measurements to enhance the quality of its results. By incorporating OCR post-processing techniques, the system recognizes character and achieves promising results in character identification. The potential of this system is exposed through experimental analysis.

This paper proposes an automatic license plate recognition system using computer vision techniques and Optical Character Recognition (OCR). The proposed ALPR system aims to enhance license plate identification accuracy for parking lot management and access. Based on pre-processing algorithms for noise reduction and edge detection for ROI identification, the system utilizes actual plate measurements to enhance the quality of its results. By incorporating OCR post-processing techniques, the system recognizes character and achieves promising results in character identification. The potential of this system is exposed through experimental analysis.

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DOI: 10.5151/siintec2023-306414

Referências bibliográficas

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Como citar:

Bastos, Rodrigo Freire ; Azevedo, Hebert Ferreira ; Silva, João Pedro Almeida Miranda ; Lins, Thâmara Raíssa Monteiro ; "Automatic License Plate Recognition System for Parking Management and Access: A Computer Vision and OCR Approach", p-548-555. In: . São Paulo: Blucher, 2023.
ISSN 23577592, DOI 10.5151/siintec2023-306414