Neural network had been used widely in many applications, such as to recognize an object or character, to detect a motion, to control a process, to forecast a result, to analyze data and for management of information. With the rapid growth of vehicles on the road and with the aid of improved technology, there is a demand for processing vehicles as conceptual resources in information systems. This paper will show how to design a system using the neural network to recognize the vehicle registration plate of vehicles. The approach to the project is by capturing footage and after which, the footage undergo segmentation to obtain the vehicle registration plate numbers using this software called MATLAB. The simulation will be illustrated after training the neural network; the system is able to recognize most of the vehicle registration plate with minimum errors.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Vehicle License Plate Registration Recognition System



    Published in:

    Advanced Materials Research ; 718-720 ; 2286-2290


    Publication date :

    2013-07-31


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Intelligent vehicle license plate recognition system

    Zou, Xiaotao / Chen, Xuequan / Chen, Jirong | SPIE | 2001


    LICENSE PLATE RECOGNITION SYSTEM AND LICENSE PLATE RECOGNITION METHOD

    CHEN SHU-HENG / LIAO CHIH-LUN / SHEN CHENG-FENG et al. | European Patent Office | 2020

    Free access

    LICENSE PLATE RECOGNITION SYSTEM, LICENSE PLATE RECOGNITION METHOD, AND PROGRAM

    KOJIMA YOHEI / NAKAYAMA HIROYUKI / OWARI NOBUYUKI et al. | European Patent Office | 2023

    Free access

    License plate recognition system and license plate recognition method

    CHEN SHU-HENG / LIAO CHIH-LUN / SHEN CHENG-FENG et al. | European Patent Office | 2020

    Free access