1999 · 22 citations · 35 references
ComputingComputer ScienceComputer VisionMachine LearningNatural Language ProcessingDocument Image AnalysisDocument StructureImage AnalysisImage SegmentationOptical Character RecognitionPattern RecognitionHierarchical Text SegmentationHierarchyPage SegmentationPartitioningText DetectionText Line DetectionText Line SegmentationTree-based Segmentation
Document Structure Analysis and Performance Evaluation by Jisheng Liang Chair of Supervisory Committee Professor Robert M. Haralick Electrical Engineering The goal of the document structure analysis is to find an optimal solution to partition the set of glyphs on a given document to a hierarchical tree structure where entities within the hierarchy are associated with their physical properties and semantic labels. In this dissertation, we present a unified document structure extraction algorithm that is probability based, where the probabilities are estimated from an extensive training set of various kinds of measurements of distances between the terminal and non-terminal entities with which the algorithm works. The off-line probabilities estimated in the training then drive all decisions in the on-line segmentation module. An iterative, relaxation like method is used to find the partitioning solution that maximizes the joint probability. This approach can be uniformly apply to the cons...
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V. J. Rayward‐Smith, Thomas H. Cormen, Charles E. Leiserson et al. · Journal of the Operational Research Society · 1991 · 17K citations
Visual pattern recognition by moment invariants
Ming-Kuei Hu · IRE Transactions on Information Theory · 1962 · 7.5K citations
The String-to-String Correction Problem
Robert A. Wagner, Michael J. Fischer · Journal of the ACM · 1974 · 3.1K citations · Full text