Please use this identifier to cite or link to this item: https://doi.org/10.1145/1816123.1816161
Title: BinarizationShop: A user-assisted software suite for converting old documents to black-and-white
Authors: Deng, F.
Wu, Z. 
Lu, Z. 
Brown, M.S. 
Keywords: Binarization
Document processing
User-assisted software
Issue Date: 2010
Source: Deng, F.,Wu, Z.,Lu, Z.,Brown, M.S. (2010). BinarizationShop: A user-assisted software suite for converting old documents to black-and-white. Proceedings of the ACM International Conference on Digital Libraries : 255-258. ScholarBank@NUS Repository. https://doi.org/10.1145/1816123.1816161
Abstract: Converting a scanned document to a binary format (black and white) is a key step in the digitization process. While many existing binarization algorithms operate robustly for well-kept documents, these algorithms often produce less than satisfactory results when applied to old documents, especially those degraded with stains and other discolorations. For these challenging documents, user assistance can be advantageous in directing the binarization procedure. Many existing algorithms, however, are poorly designed to incorporate user assistance. In this paper, we discuss a software framework, BinarizationShop, that combines a series of bi-narization approaches that have been tailored to exploit user assistance. This framework provides a practical approach for converting difficult documents to black and white. © 2010 ACM.
Source Title: Proceedings of the ACM International Conference on Digital Libraries
URI: http://scholarbank.nus.edu.sg/handle/10635/40293
ISBN: 9781450300858
DOI: 10.1145/1816123.1816161
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