Publication Type : Conference Paper
Publisher : IEEE
Source : 2022 International Conference on Futuristic Technologies (INCOFT)
Url : https://ieeexplore.ieee.org/document/10094366
Campus : Amritapuri
School : Department of Electronics and Communication Engineering, School of Engineering
Center : Humanitarian Technology (HuT) Labs
Year : 2022
Abstract : Applications that allow users to reserve parking spaces in advance, can incorporate license plate detection in a variety of ways. This may also be viewed as an effort to preserve order within the society. This feature enables the authorities (police) to track down the vehicle/person involved in the crime. This study suggests an algorithm for reading license plate text which includes steps such as RGB to gray scale conversion, thresholding of the pixel value, edge detection, contour detection, plate identification, text extraction. This paper suggests an algorithm which involves dual binarization methods: Otsu binarization method and binary thresholding thereby enhancing the accuracy of license plate detection.
Cite this Research Publication : R. K. Megalingam, B. Nithul, T. P. Reddy and Y. J. S. N. Swaroop, "Dual Thresholding Based License Plate Recognition," 2022 International Conference on Futuristic Technologies (INCOFT), Belgaum, India, 2022, pp. 1-6, doi: 10.1109/INCOFT55651.2022.10094366.