WFST-based ground truth alignment for difficult historical documents with text modification and layout variations

Mayce Ibrahim Ali Al Azawi, Marcus Liwicki, Thomas M. Breuel. WFST-based ground truth alignment for difficult historical documents with text modification and layout variations. In Richard Zanibbi, Bertrand Coüasnon, editors, Document Recognition and Retrieval XX - DRR 2013, 20th Document Recognition and Retrieval Conference, part of the IS&T-SPIE Electronic Imaging Symposium, Burlingame, California, USA, February 3, 2013, Proceedings. Volume 8658 of SPIE Proceedings, pages 865818, SPIE, 2013. [doi]

Authors

Mayce Ibrahim Ali Al Azawi

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Marcus Liwicki

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Thomas M. Breuel

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