A DTD Extension for Document Structure Recognition
EP '98/RIDT '98 Proceedings of the 7th International Conference on Electronic Publishing, Held Jointly with the 4th International Conference on Raster Imaging and Digital Typography: Electronic Publishing, Artistic Imaging, and Digital Typography
PCA for Gender Estimation: Which Eigenvectors Contribute?
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Combination of Local and Global Vision Modelling for Arabic Handwritten Words Recognition
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Xed: A New Tool for eXtracting Hidden Structures from Electronic Documents
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Address-Block Extraction by Bayesian Rule
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Document logical structure analysis based on perceptive cycles
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Toward file consolidation by document categorization
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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The purpose of this work is to develop a pattern recognition system simulating the human vision. A transparent neural network, with context returns is used. The context returns consist in using global vision to correct local vision (i.e. input data are corrected according to neural network outputs). In order not to compute all the input features during these context returns, a filter-based method was designed to organize the features in clusters. This allows finding a good subset of input features during each cycle, which reduce the computations. The method interest is shown in the case of logical document structure retrieval.