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Proceedings Paper

Form understanding for automated knowledge acquisition
Author(s): Yuan Y. Tang; Chang D. Yan; Ching Y. Suen
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Paper Abstract

The knowledge acquisition bottleneck has become the major impediment to the development and application of effective information systems. To remove this bottleneck, new form understanding techniques must be introduced to acquire automatically knowledge from documents. In this study, a document is considered to have two structures: geometric structure and logical structure. They play a key role in the process of the knowledge acquisition, which can be viewed as a process of acquiring the above structures. Extracting the geometric structure from a document refers to document analysis; mapping the geometric structure into logical structure is regarded as document understanding. The form understanding based on form description language (FDL) combines the both of them. This method consists of two phases: (1) Form description using the FDL which contains two parts: (a) Structure analysis based on the form structure description (FSD); (b) Item location based on the item description (IDP). (2) Mapping form description onto form structure: the FDL will be interpreted and mapped into the structure. In this phase, the following stages are included: (a) Interpretation of the form description; (b) Form mapping; (c) Item image production; (d) Item component selection; (e) Learning.

Paper Details

Date Published: 20 August 1992
PDF: 12 pages
Proc. SPIE 1706, Adaptive and Learning Systems, (20 August 1992); doi: 10.1117/12.139957
Show Author Affiliations
Yuan Y. Tang, Concordia Univ. (Canada)
Chang D. Yan, Concordia Univ. (Canada)
Ching Y. Suen, Concordia Univ. (Canada)


Published in SPIE Proceedings Vol. 1706:
Adaptive and Learning Systems
Firooz A. Sadjadi, Editor(s)

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