Browse by Subject "OCR"
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Augmenting optical character recognition (OCR) for improved digitization: Strategies to access scientific data in natural history collections (iSchools, 2013-02)The Augmenting OCR Working Group (A-OCR WG) at Integrated Digitized Biocollections (iDigBio) seeks to improve community OCR strategies and algorithms for faster, better parsing of OCR output derived from valuable data on ...
(University of Illinois at Urbana-Champaign, 2011-12)As input into the development, design, and improvement of the HathiTrust Research Center (HTRC), recipients of Google’s Digital Humanities Grants were interviewed to identify issues encountered during their projects. This ...
(iSchools, 2013-02)Integrated Digitized Biodiversity Collections, iDigBio, is funded under the National Science Foundation's (NSF) Advancing Digitization of Biological Collections (ADBC) program to help hundreds of natural history museums ...
Improving the Character of Optical Character Recognition (OCR): iDigBio Augmenting OCR Working Group Seeks Collaborators and Strategies to Improve OCR Output and Parsing of OCR Output ... (iSchools, 2013-02)There are an estimated 2 – 3 billion museum specimens world – wide (OECD 1999, Ariño 2010). In an effort to increase the research value of their collections, institutions across the U. S. have been seeking new ways to ...
(iSchools, 2013-02)The LABELX (Label Annotation through Biodiversity Enhanced Learning) is an extension of the HERBIS NLP system reported previously (Heidorn & Wei, 2008). The objective of the system is to formaly structure output from Optical ...
(Emerald, 2014-07-10)The purpose of this paper is to report results of a formative usability study that investigated first-year student use of an optical character recognition (OCR) mobile application (app) designed to help students find ...