• DocumentCode
    3020689
  • Title

    Universal data capture technology from semi-structured forms

  • Author

    Tuganbaev, Diar ; Pakhchanian, Aram ; Deryagin, Dmitry

  • Author_Institution
    ABBYY Software House, Moscow, Russia
  • fYear
    2005
  • fDate
    29 Aug.-1 Sept. 2005
  • Firstpage
    458
  • Abstract
    This paper describes a universal technology for automated data capture from documents with similar data but different layouts, such as invoices, claim forms, resumes, contracts, loan documents, etc. Prior to data capture, the relevant data are detected on the document image. A formalization of top-down document analysis is suggested and a language for describing document structures is presented. Formalized descriptions in this language can be compiled into executable code. The process of matching such formalized descriptions with actual semi-structured documents in order to find the relevant data is described.
  • Keywords
    document image processing; string matching; formalized descriptions; semistructured documents; top-down document analysis; universal automated data capture technology; Biomedical imaging; Boosting; Contracts; Data mining; Filling; Image databases; Medical diagnostic imaging; Printing; System testing; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
  • ISSN
    1520-5263
  • Print_ISBN
    0-7695-2420-6
  • Type

    conf

  • DOI
    10.1109/ICDAR.2005.247
  • Filename
    1575588