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Text - Image Separation in Devanagari Documents
Edinburgh, Scotland August 03-August 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227861Seventh International Conference on D ...
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Swapnil Khedekar, University at Buffalo
Vemulapati Ramanaprasad, University at Buffalo
Srirangaraj Setlur, University at Buffalo
Venugopal Govindaraju, University at Buffalo
In this paper we present a top-down, projection-profile based algorithm to separate text blocks from image blocks in a Devanagari document. We use a distinctive feature of Devanagari text, called Shirorekha (Header Line) to analyze the pattern produced by Devanagari text in the horizontal profile. The horizontal profile corresponding to a text block possesses certain regularity in frequency, orientation and shows spatial cohesion. The algorithm uses these features to identify text blocks in a document image containing both text and graphics.
Citation:
Swapnil Khedekar, Vemulapati Ramanaprasad, Srirangaraj Setlur, Venugopal Govindaraju, "Text - Image Separation in Devanagari Documents," icdar, vol. 2, pp.1265, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003
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