Segmentation of page images using the area Voronoi diagram
Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
Machine Learning for Intelligent Processing of Printed Documents
Journal of Intelligent Information Systems - Special issue on methodologies for intelligent information systems
Introduction to Algorithms
The Document Spectrum for Page Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling Visual Patterns by Integrating Descriptive and Generative Methods
International Journal of Computer Vision
Page segmentation and classification utilising a bottom-up approach
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Adaptive Document Segmentation and Geometric Relation Labeling: Algorithms and Experimental Results
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
A Statistical Learning Approach To Document Image Analysis
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
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Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. It first generates overlapping zone hypotheses based on generic visual features. Then, each candidate zone is evaluated quantitatively by a learned generative zone model. We infer the optimal set of non-overlapping zones that covers a given document image by a heuristic search algorithm. The experimental results demonstrate that the proposed method is very robust to document structure variation and noise.