Layout recognition of multi-kinds of table-form documents
Watanabe, T.
Qin Luo
Sugie, N.
Dept. of Inf. Eng., Nagoya Univ.;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Apr 1995
Volume: 17,
Issue: 4
On page(s): 432-445
ISSN: 0162-8828
References Cited: 18
CODEN: ITPIDJ
INSPEC Accession Number: 4942730
Digital Object Identifier: 10.1109/34.385976
Current Version Published: 2002-08-06
Abstract
Many approaches have reported that knowledge-based layout
recognition methods are very successful in classifying the meaningful
data from document images automatically. However, these approaches are
applicable to only the same kind of documents because they are based on
the paradigm that specifies the structure definition information in
advance so as to be able to analyze a particular class of documents
intelligently. In this paper, the authors propose a method to recognize
the layout structures of multi-kinds of table-form document images. For
this purpose, the authors introduce a classification tree to manage the
relationships among different classes of layout structures. The authors'
recognition system has two modes: layout knowledge acquisition and
layout structure recognition. In the layout knowledge acquisition mode,
table-form document images are distinguished according to this.
Classification tree and then the structure description trees which
specify the logical structures of table-form documents are generated
automatically. While, in the layout structure recognition mode,
individual item fields in the table-form document images are extracted
and classified successfully by searching the classification tree and
interpreting the structure description tree
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