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Adaptive document segmentation and geometric relation labeling: Algorithms and experimental results
Liu J.2; Tang Y.Y.2; He Q.1; Suen C.Y.2
1996
Source PublicationProceedings - International Conference on Pattern Recognition
Volume3
Pages763-767
AbstractThis paper describes a generic document segmentation and geometric relation labeling method with applications to document analysis. Unlike the previous document segmentation methods where text spacing, border lines, and/or a priori layout models based template processing are performed, the present method begins with a hierarchy of partitioned image layers where inhomogeneous higher-level regions are recursively positioned into lower-level rectangular subregions and at the same time lower-level smaller homogeneous regions are merged into larger homogeneous regions. The present method differs from the traditional split-and-merge segmentation method in that it orthogonally splits regions using thresholds adaptively computed from projection profiles. © 1996 IEEE.
DOI10.1109/ICPR.1996.547271
URLView the original
Language英語English
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Sichuan University
2.Hong Kong Baptist University
3.Universite Concordia
Recommended Citation
GB/T 7714
Liu J.,Tang Y.Y.,He Q.,et al. Adaptive document segmentation and geometric relation labeling: Algorithms and experimental results[C], 1996, 763-767.
APA Liu J.., Tang Y.Y.., He Q.., & Suen C.Y. (1996). Adaptive document segmentation and geometric relation labeling: Algorithms and experimental results. Proceedings - International Conference on Pattern Recognition, 3, 763-767.
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