Vehicle management and owner identification have become a significant drawback for all countries. Generally, it's troublesome to spot a vehicle owner who breaks the traffic rules and drives too quickly. Therefore, it's uphill to catch and penalize those people because the speed of the vehicle is too fast for the person to retrieve the number from that vehicle. Therefore, there's a requirement to enhance the Automated Number Plate Recognition (ANPR) system. There are several ANPR programs available nowadays. These systems are made up of different methodologies; however, it is still quite difficult to retrieve the license number from a moving vehicle as a number of the factors like high speed of the automotive, different license plate on a different vehicle, the language of number (Hindi, English, etc.) and varied lighting conditions will considerably have an effect on the recognition. Most programs work under these limits.


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    Titel :

    Vehicle Owner Identification from Number Plate


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Mahapatra, Rajendra Prasad (Herausgeber:in) / Peddoju, Sateesh Kumar (Herausgeber:in) / Roy, Sudip (Herausgeber:in) / Parwekar, Pritee (Herausgeber:in) / Goel, Lavika (Herausgeber:in) / Vashishtha, Harsh (Autor:in) / Sharma, Gopal (Autor:in) / Malik, Abhishek (Autor:in) / Paliwal, Shweta (Autor:in) / Tripathi, Aanjey Mani (Autor:in)


    Erscheinungsdatum :

    15.01.2022


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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