GREC 2007 Arc Segmentation Contest: Evaluation of Four Participating Algorithms
Graphics Recognition. Recent Advances and New Opportunities
A densitometric approach to web page segmentation
Proceedings of the 17th ACM conference on Information and knowledge management
A robust approach to text line grouping in online handwritten Japanese documents
Pattern Recognition
Text line and word segmentation of handwritten documents
Pattern Recognition
A system to detect rooms in architectural floor plan images
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Recognition driven page orientation detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Automatic localization of page segmentation errors
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
Bottom-up document segmentation method based on textural features
Pattern Recognition and Image Analysis
An approach for real-time recognition of online Chinese handwritten sentences
Pattern Recognition
Automatic localization and correction of line segmentation errors
Proceeding of the workshop on Document Analysis and Recognition
Algorithm for segmentation of documents based on texture features
Pattern Recognition and Image Analysis
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This paper continues the authors' attempt to address the need for objective comparative evaluation of layout analysis methods in realistic circumstances. It describes the Page Segmentation Competition (modus operandi, dataset and evaluation criteria) held in the context of ICDAR2007 and presents the results of the evaluation of three candidate methods. The main objective of the competition was to compare the performance of such methods using scanned documents from commonly- occurring publications. The results indicate that although methods continue to mature, there is still a considerable need to develop robust methods that deal with everyday documents.