Comparison and Classification of Documents Based on Layout Similarity
Information Retrieval
Adaptive Layout Analysis of Document Images
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
A Layout-Free Method for Extracting Elements from Document Images
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
A Statistical Method for an Automatic Detection of Form Types
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
Correcting the Document Layout: A Machine Learning Approach
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Making Documents Work: Challenges for Document Understanding
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Thick 2D relations for document understanding
Information Sciences—Informatics and Computer Science: An International Journal
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Document Understanding System Using Stochastic Context-Free Grammars
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
RELATIONAL DATA MINING AND ILP FOR DOCUMENT IMAGE UNDERSTANDING
Applied Artificial Intelligence
Relational learning: statistical approach versus logical approach in document image understanding
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
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In this paper, a qualitative representation for the layout of structured documents as well as classes of documents is presented, which is established by the means of supervised learning from a labeled training set of documents. For this formal representation, an inference algorithm has been developed, adopted from error tolerant subgraph isomorphism, which assigns logic labels to layout objects of a test document.