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.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Toyohide WATANABE, Qin LUO, Noboru SUGIE, "Knowledge for Understanding Table-Form Documents" in IEICE TRANSACTIONS on Information,
vol. E77-D, no. 7, pp. 761-769, July 1994, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/e77-d_7_761/_p
Copy
@ARTICLE{e77-d_7_761,
author={Toyohide WATANABE, Qin LUO, Noboru SUGIE, },
journal={IEICE TRANSACTIONS on Information},
title={Knowledge for Understanding Table-Form Documents},
year={1994},
volume={E77-D},
number={7},
pages={761-769},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={July},}
Copy
TY - JOUR
TI - Knowledge for Understanding Table-Form Documents
T2 - IEICE TRANSACTIONS on Information
SP - 761
EP - 769
AU - Toyohide WATANABE
AU - Qin LUO
AU - Noboru SUGIE
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E77-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 1994
AB - 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.
ER -