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    <title>CITlab ARGUS for historical handwritten documents</title>
    <subTitle>Description of CITlab’s System for the HTRtS 2014 Handwritten Text Recognition Task</subTitle>
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    <namePart>Grüning, Tobias</namePart>
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  <abstract type="Summary">We describe CITlab’s recognition system for the HTRtS competition attached to the 14. International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. The task comprises the recognition of historical handwritten documents. The core algorithms of our system are based on multidimensional recurrent neural networks (MDRNN) and connectionist temporal classification (CTC). The software modules behind that as well as the basic utility technologies are essentially powered by PLANET’s ARGUS framework for intelligent text recognition and image processing.&lt;eng&gt;</abstract>
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  <note type="statement of responsibility">Tobias Strauß, Tobias Grüning, Gundram Leifert, Roger Labahn</note>
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      <title>Preprints aus dem Institut für Mathematik</title>
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  <identifier type="urn">urn:nbn:de:gbv:28-rosdok_id00005817-5</identifier>
  <identifier type="doi">10.18453/rosdok_id00005817</identifier>
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