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|Title:||Text block segmentation using pyramid structure||Authors:||Tan, C.L.
|Keywords:||Document image analysis
|Issue Date:||2001||Citation:||Tan, 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. https://doi.org/10.1117/12.410849||Abstract:||Text 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.||Source Title:||Proceedings of SPIE - The International Society for Optical Engineering||URI:||http://scholarbank.nus.edu.sg/handle/10635/40480||ISSN:||0277786X||DOI:||10.1117/12.410849|
|Appears in Collections:||Staff Publications|
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