English  |  正體中文  |  简体中文  |  Items with full text/Total items : 68069/68069 (100%)
Visitors : 23149519      Online Users : 167
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/987654321/29159

    Title: A feature point clustering approach to the recognition of form documents
    Authors: Fan,KC;Lu,JM;Chen,GD
    Contributors: 資訊工程研究所
    Date: 1998
    Issue Date: 2010-06-29 20:15:08 (UTC+8)
    Publisher: 中央大學
    Abstract: Among various kinds of documents, forms are one of the important types. Automatic processing of form documents is a problem which is essential to the advancement of office automation. In this paper, we will present a clustering-based approach to recognize form documents. In our approach, the characters embedded in a form document are extracted first by separating the characters and structured line patterns into two distinct groups. Next, clustering process is employed to the corner points of the remained structured line patterns. Each form document is then represented as a weighted graph according to the clustering result. Form recognition problem is thereby formulated as a graph matching problem. The feasibility of the novel method is demonstrated through experimenting various kinds of forms. Experimental results reveal the feasibility of the novel method. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
    Appears in Collections:[資訊工程研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat

    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