The identification of the rail train numbers is of great significance for the daily inspection and maintenance of trains. In this paper, the image processing technology is used to locate, segment, and identify the vehicle number, thus completing the online detection system for the rail train identification. First, we use a high-speed industrial camera to obtain an image containing the rail train number; secondly, a series of operations such as rough interception, smoothing, binarization, and morphological processing are performed on the rail train number image to locate the rail train number; then, according to the connected domain characteristics of the single character of the car number, a single character is segmented and normalized. Finally, the artificial neural network (ANN) is used to realize the identification of the rail train number character.


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    Title :

    A Rail Train Number Identification Algorithm Based on Image Processing


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liu, Baoming (editor) / Jia, Limin (editor) / Qin, Yong (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Yang, Shuangyan (author) / Xu, Ruifeng (author) / Zhou, Zhihui (author) / Xing, Zongyi (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2019 ; Qingdao, China October 25, 2019 - October 27, 2019



    Publication date :

    2020-04-02


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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