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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29223


    Title: CLASSIFICATION OF DOCUMENT BLOCKS USING DENSITY FEATURE AND CONNECTIVITY HISTOGRAM
    Authors: FAN,KC;WANG,LS
    Contributors: 資訊工程研究所
    Date: 1995
    Issue Date: 2010-06-29 20:16:47 (UTC+8)
    Publisher: 中央大學
    Abstract: In this paper, we present a document block classification algorithm to automatically classify different types of blocks embedded in a document image. Two kinds of features, density feature and connectivity histogram, are devised to achieve the classification goal. In our approach, segmented document blocks are first classified into text and non-text blocks via the density feature. Then, the connectivity histogram is utilized to further classify non-text blocks into image and graphics blocks. Experimental results reveal the feasibility of the new technique in classifying document blocks.
    Relation: PATTERN RECOGNITION LETTERS
    Appears in Collections:[資訊工程研究所] 期刊論文

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