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Adaptive document segmentation and geometric relation labeling: algorithms and experimental results

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4 Author(s)
Jiming Liu ; Dept. of Comput. Studies, Hong Kong Baptist Univ., Hong Kong ; Tang, Y.Y. ; Qichao He ; Suen, C.Y.

This 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

Published in:

Pattern Recognition, 1996., Proceedings of the 13th International Conference on  (Volume:3 )

Date of Conference:

25-29 Aug 1996