2 code implementations • 9 Feb 2018 • Tobias Grüning, Gundram Leifert, Tobias Strauß, Johannes Michael, Roger Labahn
For example, for the complex track of the cBAD: ICDAR2017 Competition on Baseline Detection the F-value is increased from 0. 859 to 0. 922.
no code implementations • 26 May 2016 • Gundram Leifert, Tobias Strauß, Tobias Grüning, Roger Labahn
We describe CITlab's recognition system for the HTRtS competition attached to the 13. International Conference on Document Analysis and Recognition, ICDAR 2015.
no code implementations • 15 Sep 2015 • Tobias Strauß, Gundram Leifert, Tobias Grüning, Roger Labahn
This article proposes a convenient tool for decoding the output of neural networks trained by Connectionist Temporal Classification (CTC) for handwritten text recognition.
no code implementations • 15 Dec 2014 • Gundram Leifert, Tobias Grüning, Tobias Strauß, Roger Labahn, for the University of Rostock - CITlab
We describe CITlab's recognition system for the ANWRESH-2014 competition attached to the 14. International Conference on Frontiers in Handwriting Recognition, ICFHR 2014.
no code implementations • 15 Dec 2014 • Gundram Leifert, Roger Labahn, Tobias Strauß
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.
no code implementations • 12 Dec 2014 • Tobias Strauß, Tobias Grüning, Gundram Leifert, Roger Labahn, for the University of Rostock - CITlab
We describe CITlab's recognition system for the HTRtS competition attached to the 14. International Conference on Frontiers in Handwriting Recognition, ICFHR 2014.