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A synthetic document image dataset for developing and evaluating historical document processing methods.

, , и . DRR, том 8297 из SPIE Proceedings, стр. 829710. SPIE, (2012)

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Evaluating Models of Latent Document Semantics in the Presence of OCR Errors., , и . EMNLP, стр. 240-250. ACL, (2010)Improving historical research by linking digital library information to a global genealogical database., , и . JCDL, стр. 255-258. ACM, (2009)Combining multiple thresholding binarization values to improve OCR output., , и . DRR, том 8658 из SPIE Proceedings, стр. 86580R. SPIE, (2013)Error Correction with In-domain Training across Multiple OCR System Outputs., и . ICDAR, стр. 658-662. IEEE Computer Society, (2011)A sophisticated library search strategy using folksonomies and similarity matching., , и . J. Assoc. Inf. Sci. Technol., 60 (7): 1392-1406 (2009)How well does multiple OCR error correction generalize?, , и . DRR, том 9021 из SPIE Proceedings, стр. 90210A-90210A-13. SPIE, (2014)A synthetic document image dataset for developing and evaluating historical document processing methods., , и . DRR, том 8297 из SPIE Proceedings, стр. 829710. SPIE, (2012)Improving optical character recognition through efficient multiple system alignment., и . JCDL, стр. 231-240. ACM, (2009)Progressive Alignment and Discriminative Error Correction for Multiple OCR Engines., , и . ICDAR, стр. 764-768. IEEE Computer Society, (2011)Why multiple document image binarizations improve OCR., , и . HIP@ICDAR, стр. 86-93. ACM, (2013)