• DocumentCode
    3140290
  • Title

    User-defined template for identifying document type and extracting information from documents

  • Author

    Kochi, Tsukasa ; Saitoh, Takashi

  • Author_Institution
    Software Res. Center, Ricoh Co. Ltd., Yokohama, Japan
  • fYear
    1999
  • fDate
    20-22 Sep 1999
  • Firstpage
    127
  • Lastpage
    130
  • Abstract
    An automatic document entry system is described that identifies the type of document and extracts textual information, such as titles or authors, from semi-formatted document images. The system registers documents, offers easy retrieval of documents used in a daily workflow analyzes the layout structure of documents by using document specific models, and assumes that each type of document is known in advance. In this paper we focus on a method for identifying the type of document
  • Keywords
    document image processing; image registration; information retrieval; workflow management software; authors; automatic document entry system; daily workflow; document registration; document retrieval; document specific models; document type identification; layout structure analysis; semi-formatted document images; textual information extraction; titles; user-defined template; Costs; Data mining; Facsimile; Image analysis; Image classification; Image processing; Image retrieval; Noise robustness; Prototypes; SGML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    0-7695-0318-7
  • Type

    conf

  • DOI
    10.1109/ICDAR.1999.791741
  • Filename
    791741