• DocumentCode
    2008386
  • Title

    Text, Image and Vector Graphics Based Appraisal of Contemporary Documents

  • Author

    Lee, Sang-Chul ; McFadden, William ; Bajcsy, Peter

  • Author_Institution
    Dept. of Comput. & Inf. Eng., Inha Univ., Incheon, South Korea
  • fYear
    2008
  • fDate
    11-13 Dec. 2008
  • Firstpage
    729
  • Lastpage
    734
  • Abstract
    We have designed a framework for content based appraisal of documents. Our motivation is to provide computer assisted support for answering several appraisal criteria according to the general appraisal guidelines in the National Archives and Record Administration (NARA) 1441 directive. The appraisal criteria led us to investigations related to (a) finding groups of PDF documents with similar content, (b) ranking documents according to their creation/ modification time and digital volume, and (c) detecting inconsistency between ranking and content within a group of related documents. The novelty of our work is in designing a methodology and a mathematical framework for document appraisals, and prototyping the framework working with text, image and vector graphics components of PDF documents. We present example results of grouping, ranking and integrity verification for groups of scientific documents about medical topics.
  • Keywords
    document handling; formal verification; National Archives and Record Administration; PDF documents; contemporary documents; content based appraisal; document appraisals; image graphics; integrity verification; text graphics; vector graphics; Algorithm design and analysis; Appraisal; Biomedical imaging; Design methodology; Focusing; Frequency; Graphics; Image analysis; Image color analysis; Prototypes; PDF; appraisal; document analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-0-7695-3495-4
  • Type

    conf

  • DOI
    10.1109/ICMLA.2008.39
  • Filename
    4725056