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Proceedings Paper

Enhanced bleed through removal for scanned document images
Author(s): Avinash Sharma; Sahil Mahaldar; Serene Banerjee
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Paper Abstract

Back-to-front interference is a common problem in documents, printed on translucent pages with insufficient opacity and is referred to as bleed through. The present state-of-art algorithms address bleed through based on entropy, entropic correlation and discriminator analysis. However, a common drawback of such algorithms is their inefficient processing of documents that are either sparse in terms of content or have a very dark background. Our proposed algorithm, based on Otsu's binarization method and pixel level classification addresses these problems. Experiments indicate that our algorithm performs comparable to state-of-the-art for most of the images and better than state-of-the-art for the low contrast images.

Paper Details

Date Published: 3 February 2011
PDF: 9 pages
Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 787019 (3 February 2011); doi: 10.1117/12.876636
Show Author Affiliations
Avinash Sharma, Hewlett-Packard Research Labs. (India)
Sahil Mahaldar, Shell Inc. (India)
Serene Banerjee, Hewlett-Packard Research Labs. (India)

Published in SPIE Proceedings Vol. 7870:
Image Processing: Algorithms and Systems IX
Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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