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    Text identification in color documents

    Text identification in color documents


    In complex color documents, text, drawings and graphics are appeared with millions of different colors. In many cases, text regions are overlaid onto drawings or graphics. In this paper, a new method is proposed to automatically detect and extract text in mixed type color documents. The proposed method is based on a combination of an adaptive color reduction (ACR) technique and a page layout analysis (PLA) approach. The ACR technique is used to obtain the optimal number of colors. Then, image is split to separable binary images, each one corresponding to every principal color. The PLA technique is applied independently to each one of the color plains and identifies the text regions. A merging procedure is applied in the final stage to merge the text regions derived from the color plains and to produce the final document.

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    Titel :

    Text identification in color documents

    Beteiligte:
    Strouthopoulos, C. (Autor:in) / Papamarkos, N. (Autor:in) / Atsalakis, A. (Autor:in) / Chamzas, C. (Autor:in)
    Erschienen in:

    3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the ; 2 ; 702-705 Vol.2

    Erscheinungsdatum :

    2003-01-01

    Format / Umfang :

    312059 byte

    ISBN :

    953-184-061-X

    ISSN :

    1330-1012

    DOI :

    https://doi.org/10.1109/ISPA.2003.1296366

    Medientyp :

    Aufsatz (Konferenz)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

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