Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{168398,
        author = {Balaji J and Anuja A V and Buvanesh M},
        title = {License Plate Detection Methods Based On OpenCV},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {915-918},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168398},
        abstract = {The popularization of automobile and the progress of computer vision detection technology, intelligent license plate detection technology has gradually become an important part of intelligent traffic management. License plate detection is used to segment vehicle image and obtain license plate area for follow- up recognition system to screen. It is widely used in intelligent traffic management, vehicle video monitoring and other fields. This work presents a unique enhanced License Plate Detection system using KNN Algorithm. The available strategies square measure susceptible to illumination variance, complicated background and weak-edged license plates and their recognition system fails in it.
The proposed new system will sure increase the accuracy and decrease the cost of the recognition in addition of removing the existing system issues. Considering these regards, the proposed system is designed using KNN Algorithm which will be efficient and even robust against noisy data. We prove with the working model and analysis results that the planned model  well  performs  than  the  prevailing system using Python},
        keywords = {},
        month = {October},
        }