Loose, Falling Characters and Sentences: The Persistence of the OCR Problem in Digital Repository E-Books
Abstract

The electronic conversion of scanned image files to readable text using optical character recognition (OCR) software and the subsequent migration of raw OCR text to e-book text file formats are key remediation or media conversion technologies used in digital repository e-book production. Despite real progress, the OCR problem of reliability and accuracy in OCR-derived e-book text and metadata persists. This paper examines a selection of digitized e-books in several prominent digital repositories and discusses the impact of OCR technology on e-book text file formats, metadata, and the online reading experience.


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