English  |  正體中文  |  简体中文  |  Items with full text/Total items : 66984/66984 (100%)
Visitors : 22999203      Online Users : 325
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29181


    Title: Reading order of Chinese newspaper articles using a block-growing method
    Authors: King,CF;Fan,KC;Han,CC
    Contributors: 資訊工程研究所
    Date: 1998
    Issue Date: 2010-06-29 20:15:42 (UTC+8)
    Publisher: 中央大學
    Abstract: The reading order of articles plays an important role in the areas of document analysis and document understanding. Since the reading sequence conveys significant semantic information embedded in a document, it will influence the robustness and correctness of post-applications in document analysis. Hence, the reading order of documents, which most researchers and systems frequently ignore, is indispensable for post-processing in order to understand document systems. In this paper, a block-growing approach is proposed to generate the reading order of Chinese newspapers, by matching predefined style graphs. In this graph-matching approach, the geometric relation graph (GRG) is first constructed according to the geometric relationships among the segmented blocks of input documents. Those blocks that belong to the same article are gradually merged to form an article by matching the predefined style graphs. Since the local reading information is retained during the block-growing process, the global reading information can be easily generated. The proposed bottom-up merging approach is powerful and flexible in finding the reading order of Chinese newspaper articles. A wide variety of Chinese newspapers with horizontal and vertical styles were tested to verify the validity of our proposed method. Experimental results reveal the feasibility and effectiveness of our proposed approach. (C) 1998 Elsevier Science B.V. All rights reserved.
    Relation: IMAGE AND VISION COMPUTING
    Appears in Collections:[資訊工程研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML311View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明