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Research Article

Real – Time License Plate Recognition and Validation System Through Image Processing and KNN

M. Arul Selvan1 A.V. Gowtham2 T.S. Haarish3 K.R. Ram Kishore4 S.U. Vignesh Ram5
1Associate Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India. 2345Final Year Students, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India.

Published Online: November-December 2024

Pages: 08-10

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Abstract

Abstract: This license plate recognition and confirmation framework captures and preprocesses pictures by changing over them to grayscale for clarity, at that point utilizes Optical Character Recognition (OCR) to precisely extricate content. Utilizing the K- Nearest Neighbours (KNN) calculation, the extricated content is coordinated against a database of enlisted plates. In the event that a coordinate is found, the plate's realness is affirmed, and vehicle points of interest are shown; something else, the plate is hailed as possibly fake. This strategy guarantees tall precision in content extraction and gives a solid device for distinguishing unregistered or adulterated plates.

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