Enhanced bleed through removal for scanned document images

Avinash Sharma; Sahil Mahaldar; Serene Banerjee

doi:10.1117/12.876636

3 February 2011 Enhanced bleed through removal for scanned document images

Avinash Sharma, Sahil Mahaldar, Serene Banerjee

Proceedings Volume 7870, Image Processing: Algorithms and Systems IX; 787019 (2011) https://doi.org/10.1117/12.876636
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

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.

Citation Download Citation

Avinash Sharma, Sahil Mahaldar, and Serene Banerjee "Enhanced bleed through removal for scanned document images", Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 787019 (3 February 2011); https://doi.org/10.1117/12.876636

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