10.18453/rosdok_id00005817 Strauß, Tobias Tobias Strauß http://d-nb.info/gnd/1136294554 https://orcid.org/0000-0002-5344-4188 Grüning, Tobias Tobias Grüning http://d-nb.info/gnd/1181883350 Leifert, Gundram Gundram Leifert Labahn, Roger Roger Labahn http://d-nb.info/gnd/170999645 https://orcid.org/0000-0003-1901-9644 University of Rostock, Institute of Mathematics 2014 510 Mathematics 2014 en https://purl.uni-rostock.de/rosdok/id00005817 urn:nbn:de:gbv:28-rosdok_id00005817-5 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.