August 12, 2018 Dataset Open Access

Springmann, Uwe; Reul, Christian; Dipper, Stefanie; Baiter, Johannes

DCAT Export

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        <foaf:name>Reul, Christian</foaf:name>
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        <foaf:name>Dipper, Stefanie</foaf:name>
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    <dct:title>GT4HistOCR: Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin</dct:title>
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    <dcat:keyword>OCR, historical documents, digital humanities, Fraktur, Early Modern Latin, Early New High German</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2018-08-12</dct:issued>
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    <dct:description>&lt;p&gt;&lt;strong&gt;GT4HistOCR&lt;/strong&gt; contains ground truth for research in Optical Character Recognition (OCR) technology applied to historical printings in German Fraktur and Early Modern Latin.&lt;/p&gt; &lt;p&gt;The ground truth comes in pairs of images of single printed lines as they appear in book pages (*.png) and their corresponding diplomatic transcriptions (*.gt.txt), which are UTF-8 strings preserving the character forms (glyphs) as much as possible within the UNICODE standard. These pairs of line images and their transcriptions can be directly used to train recognition models with, e.g., the open source OCR engines &lt;em&gt;OCRopy&lt;/em&gt; or &lt;em&gt;Tesseract&lt;/em&gt;. A total of 313,173 ground truth lines are provided.&lt;/p&gt;</dct:description>
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