Maintaining knowledge about temporal intervals
Communications of the ACM
Matching form lines based on a heuristic search
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Automatic Knowledge Acquisition for Spatial Document Interpretation
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
The Recognition of Form Documents Based on Three Types of Line Segments
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
A system for data extraction from forms of known class
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Four directional adjacency graphs (FDAG) and their application in locating fields in forms
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
A Model-Based Form Processing Sub-System
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Model matching based on association graph for form image understanding
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
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In this paper, we present a method to classify forms by a statistical approach; the physical structure may vary from one writer to another. An automatic form segmentation is performed to extract the physical structure which is described by the main rectangular block set. During the form learning phase, a block matching is made inside each class; the number of occurrences of each block is counted, and statistical block attributes are computed. During the phase of identification, we solve the block instability by introducing a block penalty coefficient, which modifies the classical expression of Mahalanobis distance. A block penalty coefficient depends on the block occurrence probability. Experimental results, using the different form types, are given.