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April 2009 (vol. 31 no. 4)
pp. 763-764
Faisal Shafait, German Research Center for Artificial Intelligence, Kaiserslautern
Daniel Keysers, German Research Center for Artificial Intelligence, Kaiserslautern
In contrast to prior experimental work, our results support the conclusion that RXYC can perform well after marginal noise removal. However, marginal noise removal on page images like those found in UW3 remains a hard problem, and it therefore remains an open question whether RXYC can actually achieve competitive performance on such databases.
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Index Terms:
Document analysis, Optical character recognition
Citation:
Faisal Shafait, Daniel Keysers, Thomas M. Breuel, "Response to "Projection Methods Require Black Border Removal"," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 4, pp. 763-764, Apr. 2009, doi:10.1109/TPAMI.2008.220