Please use this identifier to cite or link to this item: https://doi.org/10.1117/12.410849
Title: Text block segmentation using pyramid structure
Authors: Tan, C.L. 
Zhang, Z. 
Keywords: Document image analysis
Pyramid
Text segmentation
Issue Date: 2001
Source: 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
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