Knowledge for Understanding Table-Form Documents

Toyohide WATANABE  Qin LUO  Noboru SUGIE  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E77-D   No.7   pp.761-769
Publication Date: 1994/07/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Document Analysis and Recognition)
Category: 
Keyword: 
paradigm of document understanding,  recognition of multi-kinds of documents,  recognition of document calss,  clssification tree,  structure description tree,  item sequence rule,  item property frame,  table-form document,  

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Summary: 
The issue about document structure recognition and document understanding is today one of interesting subjects from a viewpoint of practical applications. The research objective is to extract the meaningful data from document images interpretatively and also classify them as the predefined item data automatically. In comparison with the traditional image-processing-based approaches, the knowledge-based approaches, which make use of various knowledge in order to interpret structural/constructive features of documents, have been currently investigated as more flexible and applicable methods. In this paper, we propose a totally integrated paradigm for understanding table-form documents from a viewpoint of the architectural framework.