A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text segmentation using Gabor filters for automatic document processing
Machine Vision and Applications - Special issue: document image analysis techniques
Page segmentation and classification
CVGIP: Graphical Models and Image Processing
Layout extraction of mixed mode documents
Machine Vision and Applications
Segmentation of page images using the area Voronoi diagram
Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Document Spectrum for Page Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two Geometric Algorithms for Layout Analysis
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
A background based adaptive page segmentation algorithm
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Document zone content classification and its performance evaluation
Pattern Recognition
Groups of Adjacent Contour Segments for Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Voronoi++: A Dynamic Page Segmentation Approach Based on Voronoi and Docstrum Features
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
IBM Journal of Research and Development
Page segmentation using texture analysis
Pattern Recognition
Performance Evaluation Tools for Zone Segmentation and Classification (PETS)
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Performance comparison of six algorithms for page segmentation
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Multilingual OCR research and applications: an overview
Proceedings of the 4th International Workshop on Multilingual OCR
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This paper presents a dynamic approach to document page segmentation based on inter-component relationships, local patterns and context features. State-of-the art page segmentation algorithms segment zones based on local properties of neighboring connected components such as distance and orientation, and do not typically consider additional properties other than size. Our proposed approach uses a contextually aware and dynamically adaptive page segmentation scheme. The page is first over-segmented using a dynamically adaptive scheme of separation features based on [2] and adapted from [13]. A decision to form zones is then based on the context built from these local separation features and high-level content features. Zone-based evaluation was performed on sets of printed and handwritten documents in English and Arabic scripts with multiple font types, sizes and we achieved an increase of 15% over the accuracy reported in [2].