Browsing by Author "Maringanti, Harish"

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    Applying Machine Learning on Digital Library Images
    (LYRASIS, 2019) Maringanti, Harish; Samarakoon, Dhanushka; Zhu, Bohan
    This is a link to the recording of a webinar from the University of Utah for the Catalyst Fund Webinar Series.
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    Machine Learning meets Library Archives
    (LYRASIS, 2018-10-24) Maringanti, Harish; Samarakoon, Dhanushka; Zhu, Bohan; McBride, Brian
    This is the slide presentation from the 2018 LYRASIS Leaders Summit documenting the University of Utah Catalyst Fund project - Machine Learning Meets Library Archives. A recording of the presentation can be found at: hhttps://www.youtube.com/watch?v=O-RyymlgRVo.
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    Machine learning meets library archives: Image Analysis to generate descriptive metadata
    (LYRASIS; University of Utah, 2019) Maringanti, Harish; Samarakoon, Dhanushka; Zhu, Bohan
    $34,700 to develop and test a model for applying machine learning techniques to extract useful information from historical images to assist in and increase the efficiency of metadata creation for archives, libraries and museums of all types.
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    Toolkit to assess OCR’ed historical text in the era of big data
    (LYRASIS; University of Utah, 2022-10-13) Maringanti, Harish; McBride, Brian; Zhu, Bohan
    While cultural heritage institutions have been using Optical Character Recognition (OCR) to extract full text from scanned page images, the quality of extracted text is low for historical texts. In this era of big data, such historical texts will be left behind, both in search rankings and their use through computational tools. This Catatylst Funded project developed a set of guidelines, and tools to assist organizations in improving their existing OCRed collections, this white paper explores the results of the grant project.