A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representation and learning in information retrieval
Representation and learning in information retrieval
Page segmentation and classification
CVGIP: Graphical Models and Image Processing
Document image analysis
Layout extraction of mixed mode documents
Machine Vision and Applications
Page segmentation and identification for intelligent signal processing
Signal Processing
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Integrated Algorithms for Newspaper Page Decomposition and Article Tracking
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Retrieval of Images Using Rich Region Descriptions
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
ICDAR 2003 Page Segmentation Competition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
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The paper documents recognition is fundamental for office automation becoming every day a more powerful tool in those fields where information is still on paper. Document recognition follows from data acquisition, from both journals, and entire books in order to transform them in digital objects. We present a new system DAN (Document Analysis on Network) for Document recognition that follows the Open Source methodologies, XML description for documents segmentation and classification, which turns to be beneficial in terms of classification precision, and general-purpose availability.