• DocumentCode
    2197815
  • Title

    Digital Archiving and Data Mining of Historic Document

  • Author

    Tabrizi, M.H.N.

  • Author_Institution
    Dept. of Comput. Sci., East Carolina Univ., Greenville, NC, USA
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    19
  • Lastpage
    23
  • Abstract
    The development of research methodologies innovative technologies as described in this paper allows real time archival data extraction and assessment while ensuring preservation. The system establishes a new standard for electronic preservation, retrieval and research of manuscript and other materials. It uses computer-assisted technology for initial handwriting recognition of manuscript sources. This enables a search by word throughout an entire database. The data mining component of the system has been designed using lexicon, features extraction, and neural networks methods.
  • Keywords
    data mining; document handling; feature extraction; handwriting recognition; information retrieval; neural nets; archival data assessment; archival data extraction; computer-assisted technology; data mining; digital archiving; electronic preservation; features extraction; handwriting recognition; historic document; lexicon; manuscript research; manuscript retrieval; manuscript sources; neural network; word search; Computer science; Data engineering; Data mining; Feature extraction; Handwriting recognition; History; Image databases; Libraries; Materials science and technology; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    978-0-7695-3489-3
  • Type

    conf

  • DOI
    10.1109/ICACTE.2008.220
  • Filename
    4736916