Document recognition: concepts and implementations

  • Authors:
  • Nenad Marovac

  • Affiliations:
  • -

  • Venue:
  • ACM SIGOIS Bulletin
  • Year:
  • 1992

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Abstract

Document recognition is a task in which a document in its physical presentation format is transformed into a structured author-oriented model of the document. The presentation format can be bitmaps of document pages, a description of the document in a Page Description Language (PDL), or encoding of the document in a printer or graphics language. The structured model is a format allowing for addition to the document, manipulation of the document, and reformating the layout and the output appearance of the document.Fully automatic document recognition is not possible, in general, for the same reason that it is not possible to de-translate computer programs automatically. However, it is possible to develop a man-assisted semi-automatic document recognition method. This method uses two passes. The first pass is completely automatic; it produces a document format called Interactive Document Model. The Interactive Document Model comprises recognized typesetting and descriptive structures together with derived ODA logical and layout structures for the document. The model generated in the first pass is enough for most purposes and applications. However, if it is not acceptable, the user can then enter the second pass and interactively edit the logical structure.This paper has three objectives. The first is to formalize the concept of document recognition. The second is to subdivide the problem of document recognition and classify it into a number of subproblems, each dealing with different aspects of the problem. The third objective is to introduce a problem which we wish to solve, and then to present a High Level Document Recognition method and the experience in developing and using a number of implementations of the method.