Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Configuration REcognition Model for Complex Reverse Engineering Methods: 2(CREM)
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Integrated Algorithms for Newspaper Page Decomposition and Article Tracking
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Newspaper Page Decomposition Using a Split and Merge Approach
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
First International Newspaper Segmentation Contest
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Why Table Ground-Truthing is Hard
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
IBM Journal of Research and Development
Page Segmentation for Manhattan and Non-Manhattan Layout Documents via Selective CRLA
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
A robust page segmentation method for Persian/Arabic documents
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Nastaliq optical character recognition
Proceedings of the 46th Annual Southeast Regional Conference on XX
XCDF: a canonical and structured document format
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Segmentation of Arabic Characters: A Comprehensive Survey
International Journal of Technology Diffusion
Text graphic separation in Indian newspapers
Proceedings of the 4th International Workshop on Multilingual OCR
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The aim of layout analysis is to extract the geometricstructure from a document image. It consists of labelinghomogenous regions of a document image. This paperdescribes the performance of segmentation algorithmsand their adaptation in order to treat complex structuredArabic documents such as newspapers. Experimentaltests have been carried out on four different phases ofnewspaper image analysis: thread recognition, framerecognition, image text separation, text line recognition,and line merging into blocks. Some promisingexperimental results are reported.