Adaptive Layout Analysis of Document Images
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Correcting the Document Layout: A Machine Learning Approach
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
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
Hi-index | 0.00 |
The use of generic model for a document class as the knowledge base in a Document Analysis System facilitates the analysis and understanding of documents belonging to this class. Nevertheless, absence of tools permitting the acquisition of this type of model is an hindrance to the conception of entirely automatic systems. In this paper, we present a method for acquiring the generic model for a document class from document samples belonging to this class. Our method is based on Inference of Tree Grammars and combination of ODA-like generic constructors. The method constructs specific physical structure for each sample and invites the user to assign logical labels to its components. From these logically labeled specific structures, it generates and modifies the generic model for the class under treatment.