The amount of automobiles has dramatically expanded during the last few decades. The number of user road cars has increased as a result of the rising wealth of modern living. For the sake of security, law enforcement, and traffic management, keeping track of every car is become exceedingly tiresome due to this constant increase. The need for a vehicle number plate recognition system is highlighted by the phenomenon of continually growing vehicle traffic. Numerous applications, including the upkeep of traffic laws, traffic control, automatic toll collection, parking systems, and automatic gate openers, utilise number plate detection systems. This work introduces a novel algorithmic approach based on the notion of mathematical morphology and SVM for the detection and identification of a car plate number. An SVM model is a representation of the examples as points in space, projected in such a way that the examples of the various categories are separated by a distinct gap that is as wide as possible. The created algorithm is straightforward, effective, and adaptable. The system also determines which Indian state the vehicle is from.


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    Titel :

    SVM-Based Vehicle Number Plate Detection and Recognition


    Weitere Titelangaben:

    CogScienceTechnology


    Beteiligte:
    Kumar, Amit (Herausgeber:in) / Ghinea, Gheorghita (Herausgeber:in) / Merugu, Suresh (Herausgeber:in) / Kazi, S. M. (Autor:in) / Kodge, B. G. (Autor:in)

    Kongress:

    International Conference on Information and Management Engineering ; 2022 ; Hyderabad, India December 03, 2022 - December 04, 2022



    Erscheinungsdatum :

    27.09.2023


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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