Outubro 2023 vol. 10 num. 5 - IX Simpósio Internacional de Inovação e Tecnologia

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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.

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.

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Palavras-chave: license plate, optical character recognition, computer vision, parking management, region of interest,

Palavras-chave: license plate, optical character recognition, computer vision, parking management, region of interest,

DOI: 10.5151/siintec2023-306414

Referências bibliográficas
  • [1] " MUSTAFA, Twana; KARABATAK, Murat. Challenges in Automatic License Plate Recognition System Review. In: 2023 11th International Symposium on Digital Forensics and Security (ISDFS). IEEE, 2023. p. 1-6.
  • [2] MEMON, Jamshed et al. Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR). IEEE Access, v. 8, p. 142642-142668, 2020.
  • [3] LIN, Cheng-Hung; LI, Ying. A license plate recognition system for severe tilt angles using mask R-CNN. In: 2019 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2019. p. 229-234.
  • [4] KIM, Taewan; KIM, Eungtae. A Vehicle License Plate Recognition System Using Morphological ROI (Region of Interest) Map Generated from Morphology Operation. In: Journal of Physics: Conference Series. IOP Publishing, 2017. p. 01200
  • [5] GARG, Khushi et al. License Number Plate Recognition (LNPR). In: 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). IEEE, 2022. p. 1261-1267.
  • [6] OpenCV: Changing Colorspaces. OpenCV. Available at: . Accessed on: 30 jul. 2023.
  • [7] OpenCV: Canny Edge Detection. OpenCV. Available at: . Accessed on: 30 jul. 2023."
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 2357-7592, DOI 10.5151/siintec2023-306414

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