1 code implementation • 12 Oct 2021 • Christoph Wick, Jochen Zöllner, Tobias Grüning
The CTC confidences are computed on the encoder while the Transformer is only used for character-wise S2S decoding.
no code implementations • 26 Aug 2019 • Gundram Leifert, Roger Labahn, Tobias Grüning, Svenja Leifert
However, there is no sophisticated evaluation scheme to measure the quality of a combined text line detection and text recognition system.
1 code implementation • 18 Mar 2019 • Johannes Michael, Roger Labahn, Tobias Grüning, Jochen Zöllner
Encoder-decoder models have become an effective approach for sequence learning tasks like machine translation, image captioning and speech recognition, but have yet to show competitive results for handwritten text recognition.
Ranked #9 on Handwritten Text Recognition on IAM
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.
4 code implementations • 9 May 2017 • Tobias Grüning, Roger Labahn, Markus Diem, Florian Kleber, Stefan Fiel
Well established text line segmentation evaluation schemes such as the Detection Rate or Recognition Accuracy demand for binarized data that is annotated on a pixel level.
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 • 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.