Please use this identifier to cite or link to this item: https://doi.org/10.1117/12.410849
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dc.titleText block segmentation using pyramid structure
dc.contributor.authorTan, C.L.
dc.contributor.authorZhang, Z.
dc.date.accessioned2013-07-04T08:05:17Z
dc.date.available2013-07-04T08:05:17Z
dc.date.issued2001
dc.identifier.citationTan, C.L.,Zhang, Z. (2001). Text block segmentation using pyramid structure. Proceedings of SPIE - The International Society for Optical Engineering 4307 : 297-306. ScholarBank@NUS Repository. <a href="https://doi.org/10.1117/12.410849" target="_blank">https://doi.org/10.1117/12.410849</a>
dc.identifier.issn0277786X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40480
dc.description.abstractText block segmentation is necessary in document layout analysis. An algorithm and its implementation that segregates text block by block (a block is either a title or a paragraph) from the provided document, e.g. newspaper image, based on pyramid structure is described in this paper. The pyramid structure, which is amenable for parallel processing on output, is a multi-resolution image representation. The pyramid structure also simulates what the human eyes see the document from afar visualizing the block structure of the document. The block segmentation can identify the titles, and distinguish different paragraphs based on the indentation between them. Our implementation will be used in a news articles retrieval project.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1117/12.410849
dc.sourceScopus
dc.subjectDocument image analysis
dc.subjectPyramid
dc.subjectText segmentation
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1117/12.410849
dc.description.sourcetitleProceedings of SPIE - The International Society for Optical Engineering
dc.description.volume4307
dc.description.page297-306
dc.description.codenPSISD
dc.identifier.isiutNOT_IN_WOS
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