Character segmentation is an important step in License Plate Recognition (LPR) system. There are many difficulties in this step, such as the influence of image noise, plate frame, rivet, space mark, and so on. This paper presents a new algorithm for character segmentation, using Hough transformation and the prior knowledge in horizontal and vertical segmentation respectively. Furthermore, a new object enhancement technique is used for image preprocessing. The experiment results show a good performance of this new segmentation algorithm.


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    Titel :

    A new algorithm for character segmentation of license plate


    Beteiligte:
    Yungang Zhang, (Autor:in) / Changshui Zhang, (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    372325 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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