Automatic generation of structured hyperdocuments from document images

Ji Yeon Lee, Jeong Seon Park, Hyeran Byun, Jongsub Moon, Seong Whan Lee

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


As sharing documents through the World Wide Web has been recently and constantly increasing, the need for creating hyperdocuments to make them accessible and retrievable via the internet, in formats such as HTML and SGML/XML, has also been rapidly rising. Nevertheless, only a few works have been done on the conversion of paper documents into hyperdocuments. Moreover, most of these studies have concentrated on the direct conversion of single-column document images that include only text and image objects. In this paper, we propose two methods for converting complex multi-column document images into HTML documents, and a method for generating a structured table of contents page based on the logical structure analysis of the document image. Experiments with various kinds of multi-column document images show that, by using the proposed methods, their corresponding HTML documents can be generated in the same visual layout as that of the document images, and their structured table of contents page can be also produced with the hierarchically ordered section titles hyperlinked to the contents.

Original languageEnglish
Pages (from-to)485-503
Number of pages19
JournalPattern Recognition
Issue number2
Publication statusPublished - 2002 Feb


  • Document conversion
  • Document image understanding
  • Logical structure analysis
  • Multi-column document
  • Structured hyperdocument

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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