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Title	Smart Anpr: A Checkpoint-Based Toll And Parking Management System Using Hybrid Ocr And Blockchain
ID_Doc	49160
Authors	Samarth M.N.; Gopisetti S.; Chaitra M.
Year	2025
Published	Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025
DOI	http://dx.doi.org/10.1109/IITCEE64140.2025.10915222
Abstract	Automated Number Plate Recognition is one of the most important applications of computer vision, employed in the enforcement of traffic law, vehicular management, security, and even at toll collection. This paper proposed an advanced system for ANPR that can move away from the traditional booth and establish a checkpoint. The strategically located cameras with checkpointing will automatically capture the plates of passing vehicles, permitting road tax and parking fees to be deducted without making contact. A hybrid approach that combines the capabilities of OpenCV, Tesseract OCR, and deep-learningbased OCR models helps tackle such challenges as stable images from live video feeds and highly accurate text recognition. To this end, since the system integrates high-resolution frame stabilization using OpenCV to ensure crystal clear captures, it further employs the use of YOLOv8 to boost the precision of real-time detection. The blockchain technology is further implemented to ensure that transactions are tamper proof, therefore ensuring secure and transparent billing systems. This makes the ANPR solution deployable on edge devices, which opens real-time processing capabilities for high-speed and high-volume environments, thereby offering a scalable and efficient approach for intelligent transportation and smart city applications. © 2025 IEEE.
Author Keywords	Automated Number Plate Recognition (ANPR); Blockchain-Based Billing; Checkpoint-Based Toll and Parking System; Computer Vision; Hybrid OCR Approach (OpenCV Tesseract YOLOv8)

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