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CITlab ARGUS for Arabic Handwriting

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 نشر من قبل Gundram Leifert
 تاريخ النشر 2014
  مجال البحث الهندسة المعلوماتية
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In the recent years it turned out that multidimensional recurrent neural networks (MDRNN) perform very well for offline handwriting recognition tasks like the OpenHaRT 2013 evaluation DIR. With suitable writing preprocessing and dictionary lookup, our ARGUS software completed this task with an error rate of 26.27% in its primary setup.



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