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Logical structure analysis and generation for structured documents: a syntactic approach

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3 Author(s)
Kyong-Ho Lee ; Dept. of Comput. Sci., Yonsei Univ., South Korea ; Yoon-Chul Choy ; Sung-Bae Cho

This paper presents a syntactic method for sophisticated logical structure analysis that transforms document images with multiple pages and hierarchical structure into an electronic document based on SGML/XML. To produce a logical structure more accurately and quickly than previous works of which the basic units are text lines, the proposed parsing method takes text regions with hierarchical structure as input. Furthermore, we define a document model that is able to describe geometric characteristics and logical structure information of documents efficiently and present its automated creation method. Experimental results with 372 images scanned from the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) show that the method has performed logical structure analysis successfully and generated a document model automatically. Particularly, the method generates SGML/XML documents as the result of structural analysis, so that it enhances the reusability of documents and independence of platform.

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Knowledge and Data Engineering, IEEE Transactions on  (Volume:15 ,  Issue: 5 )