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Multi-Level Component Grouping Algorithm and Its Applications
Seoul, Korea August 31-September 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.164Eighth International Conference on Do ...
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Bo Yuan, Centre for Remote Imaging, Sensing and Processing
Chew Lim Tan, Centre for Remote Imaging, Sensing and Processing
This paper describes a fast and effective component grouping algorithm for some layout analysis problems of textual document images. Based on an empiricalfunction, it discovers neighborhood relations at the component level. Time-consuming algorithms that operate globally among components may obtain significant pe$ormarzce boost from the localization information that this grouping algorithm provides. Some of the applications using this grouping function are also demonstrated.
Citation:
Bo Yuan, Chew Lim Tan, "Multi-Level Component Grouping Algorithm and Its Applications," icdar, pp.1178-1181, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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