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Knowledge for Understanding Table-Form Documents

Toyohide WATANABE, Qin LUO, Noboru SUGIE

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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.

Publication
IEICE TRANSACTIONS on Information Vol.E77-D No.7 pp.761-769
Publication Date
1994/07/25
Publicized
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Type of Manuscript
Special Section PAPER (Special Issue on Document Analysis and Recognition)
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