Technical evaluation demonstrates strategies to optimize optical character recognition accuracy in historic newspapers, highlighting viable workflows for large-scale digital libraries.
This article details the work undertaken by the National Library of Australia Newspaper Digitisation Program on identifying and testing solutions to improve OCR accuracy in large scale newspaper digitisation programs. In 2007 and 2008 several different solutions were identified, applied and tested on digitised material now available in the Australian Newspapers Digitisation Program beta service http://ndpbeta.nla.gov.au/ndp/del/home. This article gives a state of the art overview of how OCR software works on newspapers, factors that effect OCR accuracy, methods of measuring accuracy, methods of improving accuracy, and testing methods and results for specific solutions that were considered viable for large scale text digitisation projects.
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Rose Holley (2009) studied this question.
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