Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDAR.2005.164
Title: A multi-level component grouping algorithm and its applications
Authors: Yuan, B. 
Tan, C.L. 
Issue Date: 2005
Source: Yuan, B.,Tan, C.L. (2005). A multi-level component grouping algorithm and its applications. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 2005 : 1178-1181. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDAR.2005.164
Abstract: This paper describes a fast and effective component grouping algorithm for some layout analysis problems of textual document images. Based on an empirical function, it discovers neighborhood relations at the component level. Time-consuming algorithms that operate globally among components may obtain significant performance boost from the localization information that this grouping algorithm provides. Some of the applications using this grouping function are also demonstrated. © 2005 IEEE.
Source Title: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
URI: http://scholarbank.nus.edu.sg/handle/10635/42148
ISBN: 0769524206
ISSN: 15205363
DOI: 10.1109/ICDAR.2005.164
Appears in Collections:Staff Publications

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