AN INTELLIGENT SYSTEM FOR IRAQI ARABIC LICENSE PLATE RECOGNITION USING YOLO AND MACHINE LEARNING

Vehicle identification processes through traffic management systems depend heavily on automatic license plate recognition capabilities. The presented system uses advanced methods from deep learning and machine learning to recognize Iraqi vehicle license plates. The system uses the Tkinter-developed...

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Autore principale:	Neaam M.Isaam Abdul-Sattar
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Faculty of Engineering, University of Kufa 2026-05-01
Serie:	Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
Soggetti:	license plate recognition (lpr) yolo optical character recognition (ocr) support vector machine (svm) k-nearest neighbors (knn) iraqi car plate machine learning deep learning vehicle classification
Accesso online:	https://journal.uokufa.edu.iq/index.php/kje/article/view/19672
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