Title
A framework for validating recognized results in understanding table-form document images
Abstract
We address the knowledge representation for understanding table-form documents. In particular, we focus on the knowledge for establishing the correctness of recognized results in addition to the traditional syntactic/constructive-oriented understanding framework. In order to attain to this subject, we introduce the semantic information to specify domains and relationships among individual items definitely, which is complementary to the syntactic/constructive information available in the traditional framework.
Year
DOI
Venue
1995
10.1109/ICDAR.1995.601953
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference
Keywords
Field
DocType
document image processing,image recognition,knowledge representation,domains,knowledge representation,knowledge-based,relationships,semantic information,table-form documents,understanding document images
Knowledge representation and reasoning,Character recognition,Information retrieval,Constructive,Document image processing,Computer science,Correctness,Semantic information,Knowledge engineering,Natural language processing,Artificial intelligence,Syntax
Conference
Volume
ISBN
Citations 
2
0-8186-7128-9
7
PageRank 
References 
Authors
1.12
4
2
Name
Order
Citations
PageRank
Watanabe, T.171.12
Fukumura, Teruo2144.72