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Smart city article details

Title	Vehicle License Plate Detection Based On Look Only Once And Optical Character Recognition Techniques
ID_Doc	60926
Authors	Aishwarya G.; Karoshi D.P.; Koutanali L.; Mallibhat K.
Year	2025
Published	Lecture Notes in Networks and Systems, 1162 LNNS
DOI	http://dx.doi.org/10.1007/978-981-97-8605-3_46
Abstract	The license plate recognition system has emerged as a crucial component in the creation of smart cities, primarily to manage traffic, investigate stolen automobiles, and manage vehicles. The authors of this chapter propose a method that consists of the three primary components of license plate recognition. It includes pre-trained model YOLOv8 toward localizing the license plate of the vehicle, cropping the image based on the detected bounding box, and further employing the Optical Character Recognition (OCR) algorithm to identify the characters. Compared to state-of-the-art algorithms, the testing results demonstrate 83.65% accuracy and faster execution times. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Author Keywords	License plate recognition (LPR); Optical character recognition (OCR); YOLOv8

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