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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Multi-Level Component Grouping Algorithm and Its Applications
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
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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