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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/18737

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/18737

    Title: A Knowledge-based System for Extracting Text-lines from Mixed and Overlapping Text/graphics Compound Document Images
    Authors: 洪振偉;Hong, Zeng-Wei;莊政宏;Chuang*, Cheng-Hung
    Contributors: 資訊工程學系
    Keywords: Document image analysis;Knowledge-based systems;Text extraction;Region segmentation;Complex compound document images
    Date: 2012-01
    Issue Date: 2012-11-26 13:57:50 (UTC+8)
    Abstract: This paper presents a new knowledge-based system for extracting and identifying text-lines from various real-life mixed text/graphics compound document images. The proposed system first decomposes the document image into distinct object planes to separate homogeneous objects, including textual regions of interest, non-text objects such as graphics and pictures, and background textures. A knowledge-based text extraction and identification method obtains the text-lines with different characteristics in each plane. The proposed system offers high flexibility and expandability by merely updating new rules to cope with various types of real-life complex document images. Experimental and comparative results prove the effectiveness of the proposed knowledge-based system and its advantages in extracting text-lines with a large variety of illumination levels, sizes, and font styles from various types of mixed and overlapping text/graphics complex compound document images.
    Appears in Collections:[資訊工程學系] 期刊論文

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