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- Vol. 5 Issue 6
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Real – Time License Plate Recognition and Validation System Through Image Processing and KNN
Authors
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.
Article Information
- DOI
- No DOI
- Published In
- Volume 5, Issue 6 (2024)
- Published Online
- November-December 2024
- Pages
- 08-10
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFAbstract: 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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