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Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDAR.2005.164
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dc.titleA multi-level component grouping algorithm and its applications
dc.contributor.authorYuan, B.
dc.contributor.authorTan, C.L.
dc.date.accessioned2013-07-04T08:44:34Z
dc.date.available2013-07-04T08:44:34Z
dc.date.issued2005
dc.identifier.citationYuan, 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. <a href="https://doi.org/10.1109/ICDAR.2005.164" target="_blank">https://doi.org/10.1109/ICDAR.2005.164</a>
dc.identifier.isbn0769524206
dc.identifier.issn15205363
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/42148
dc.description.abstractThis 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICDAR.2005.164
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ICDAR.2005.164
dc.description.sourcetitleProceedings of the International Conference on Document Analysis and Recognition, ICDAR
dc.description.volume2005
dc.description.page1178-1181
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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