This study stems from the Desenrollando el cordel (Untangling the cordel) project, which focuses on 19th-century Spanish prints editing. It evaluates the impact of image enhancement methods on the automatic transcription of low-quality documents, both in terms of printing and digitisation. We compare different methods (binarisation, deblur) and present the results obtained during the training of models with the Kraken tool. We demonstrate that binarisation methods give better results than the other, and that the combination of several techniques did not significantly improve the transcription prediction. This study shows the significance of using image enhancement methods with Kraken. It paves the way for further experiments with larger and more varied corpora to help future projects design their automatic transcription workflow.
History of scholarship and learning. The humanities, Bibliography. Library science. Information resources
Sie haben es wieder getan: Nachdem arXiv erst im April um Applied Physics erweitert wurde, sind jetzt mit Electrical Engineering and Systems Science EESS und Economics Econ gleich zwei weitere Fachgebiete hinzugekommen.
Sie haben es wieder getan: Nachdem arXiv erst im April um Applied Physics erweitert wurde, sind jetzt mit Electrical Engineering and Systems Science EESS und Economics Econ gleich zwei weitere Fachgebiete hinzugekommen.
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS), Yang Wang, University of Miami Coral Gables
et al.
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS), Wei Cheng, UNIVERSITY OF WASHINGTON
et al.
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS), William Gardner, University of Montana
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS), Jefferson Moore, Regents of the University of California, Irvine
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS), Matthew Shupe, Univ. of Colorado, Boulder, CO (United States)
et al.
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS), James Smith, Univ. of California, Irvine, CA (United States)
et al.
The article proposes an original approach to building tools for knowledge testing using production expert systems. The presence of an inference mechanism and an apparatus for working with inaccurately presented information ensures the non-deterministic nature of the question-answer system. The ability to apply the approach in various fields is provided by the expert system shell. Knowledge testing tasks require the extension of traditional ideas about production expert systems. The article formulates requirements for such systems and defines a knowledge model of EESS (Extended Expert System Shell). The development ideas were mainly born in application to testing students' knowledge, but the proposed capabilities will also be useful in other areas, for example, in medical diagnos-tics – a traditional subject area of expert systems.
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS), Ian Williams, IOWA STATE UNIVERSITY OF SCIENCE AND TECHNOLOGY
et al.
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS), Umberto Ciri, Univ. of Puerto Rico, Mayaguez, PR (United States)
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS), Paul DeMott, Colorado State University
et al.
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS), Jeffrey Wilcox, University of North Carolina, Asheville, NC (United States)
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS), Peter Blossey, Univ. of Washington, Seattle, WA (United States)
Murray State University, Bassil El Masri, USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS)
et al.