CITlab ARGUS for historical handwritten documents: Description of CITlab’s System for the HTRtS 2014 Handwritten Text Recognition Task Strauß, Tobias , 1984- (VerfasserIn) Grüning, Tobias , 1986- (VerfasserIn) Leifert, Gundram (VerfasserIn) Labahn, Roger , 1959- (VerfasserIn) Text Text 2014 2014 eng electronic resourceremoteComputermedienOnline-Ressource1 Online-Ressource (8 Seiten) 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.<eng> Open Access Urheberrechtsschutz 1.0 Tobias Strauß, Tobias Grüning, Gundram Leifert, Roger Labahn 510 https://purl.uni-rostock.de/rosdok/id00005817 urn:nbn:de:gbv:28-rosdok_id00005817-5 doi: 10.18453/rosdok_id00005817 oclc: 1620794424 ppn: (DE-627)1986142531