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@article{155160,
        author = {Prakharima Singh and Satyarth Singh and Shagun Garg and Palak Agarwal and Neha Singh},
        title = {Automatic Number Plate Recognition System using Machine Learning Algorithms},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {76-78},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155160},
        abstract = {The number of cars on the road has increased significantly in recent years, resulting in traffic congestion and infractions. Automatic License Plate Recognition Systems (ALPRS) may be utilized to automate the traffic management process, improving traffic flow and bolstering access control systems. Automatic number plate recognition (ANPR) is a tool used in smart cities for reducing crime and investigation. It's commonly utilized in parking management systems and toll booths on roads with a fixed shooting angle and illumination environment. If the automobile is not legitimate, searching for it becomes a highly time-consuming and difficult operation. In this project for moving vehicle plate character detection, computer vision technology plays a critical role.},
        keywords = {Automatic number plate recognition; Image Processing; Machine learning; Computer Vision},
        month = {},
        }