Document Layout Analysis Based on Emergent Computation
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Page Segmentation Using Document Model
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Adaptive Document Segmentation and Geometric Relation Labeling: Algorithms and Experimental Results
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Page Segmentation Based on Thinning of Background
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Page segmentation using texture analysis
Pattern Recognition
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This paper describes an Extended Split Detection Method that can hierarchically segment a machine-printed page image with a complex layout into smaller layout elements. The method performs piecewise-linear segmentation using many kinds of separator elements such as field separators, lines, edges of figures, and edges of white background areas. Furthermore, this method represents an analyzed layout of a hierarchical structure in a tree data structure, in which all nodes are traversed according to the simple rules for generating the reading sequence. We demonstrated that the new method increases the correct character line segmentation rate by 15.5%, to 95.5%, and we achieved a correct reading sequence generation of 88.1%.