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@article{146409,
        author = {Ashwini P. Patil and Aruna Verma},
        title = {Deep Learning Based License Plate Recognition },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {12},
        pages = {473-478},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146409},
        abstract = {Now-a-days traffic violation is becoming a serious problem. This traffic violation may include parking problems, toll booth violations, wrong lane violations etc. Also day by day the number of vehicles is increasing. Hence the said violations are creating critical issues. In connection with this issue, the authors published their work under the heading of license plate detection and recognition (LPRS). They used different techniques for LPRS implementation. Recently a deep learning based LPRS depicted the promising results in the recognition of license plate. This paper reviews different LPRS implementation techniques and presents the deep learning based technique as in the purpose of LPRS.},
        keywords = {Convolutional Neural Networks, Deep Learning, License Plate Recognition System.},
        month = {},
        }