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
no code implementations • 17 Jul 2018 • Animesh Prasad, Hervé Déjean, Jean-Luc Meunier, Max Weidemann, Johannes Michael, Gundram Leifert
In this report, we present our findings from benchmarking experiments for information extraction on historical handwritten marriage records Esposalles from IEHHR - ICDAR 2017 robust reading competition.
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.