Classification from text/graphics images is an important procedure for automatic digitization of documents. Based on the shapes in the basis image, the asymmetrical filters are developed in this paper. By filtering with the asymmetrical filters, the horizontal, vertical, and inclined edges’ information are fetched from the input image. With applying a classified algorithm, the input image can be classified as a text image or a graphics image. Experiments are carried out for some samples to demonstrate the computational advantage of the proposed method.


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    Titel :

    Classification of a Text and a Graphics Images with Asymmetrical Filters


    Beteiligte:
    Chen, Yu-Kumg (Autor:in) / Hu, Kai-Ti (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    740057 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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