CITlab ARGUS for Arabic Handwriting
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 15 Dec 2014.
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