CITlab ARGUS for historical handwritten documents
CITlab（CITlab实验室）；Institute of Mathematics（数学研究所）；University of Rostock（罗斯托克大学）
英文摘要：
We describe CITlab's recognition system for the HTRtS competition attached to the 13. International Conference on Document Analysis and Recognition, ICDAR 2015. The task comprises the recognition of historical handwritten documents. The core algorithms of our system are based on multi-dimensional 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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
