Logical Labeling of Document Images Using Layout Graph Matching with Adaptive Learning

Authors:
Jian Liang;David S. Doermann
Affiliations:
-;-
Venue:
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Year:
2002

Citing 7
Cited 5

A Graduated Assignment Algorithm for Graph Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence
Syntactic Segmentation and Labeling of Digitized Pages from Technical Journals

IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Regions of Interest in Postal Automation

ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Structured Document Labeling and Rule Extraction Using a New Recurrent Fuzzy-Neural System

ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Page Classification through Logical Labelling

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Experiments on extracting structural information from paper documents using syntactic pattern analysis

ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Model-Based Information Extraction Method Tolerant of OCR Errors for Document Images

ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition

Classification of Web Documents Using a Graph Model

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Document Ranking by Layout Relevance

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Logical Labeling of Arabic Newspapers using Artificial Neural Nets

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Review article: A review of structured document retrieval (SDR) technology to improve information access performance in engineering document management

Computers in Industry
Recent advances in graph-based pattern recognition with applications in document analysis

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

Logical structure analysis of document images is an important problem in document image understanding. In this paper, we propose a graph matching approach to label logical components on a document page. Our system is able to learn a model for a document class, use this model to label document images through graph matching, and adaptively improve the model with error feed back. We tested our method on journal/proceeding article title pages. The experimental results show promising accuracy, and confirm the ability of adaptive learning.