137 citations · 172 across the 7 of their papers we have counts for
7 papers · 1 filter
Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes
Christoph Wick, Jochen Zöllner, Tobias Grüning
In contrast to Connectionist Temporal Classification (CTC) approaches, Sequence-To-Sequence (S2S) models for Handwritten Text Recognition (HTR) suffer from errors such as skipped o…
End-To-End Measure for Text Recognition
Gundram Leifert, Roger Labahn, Tobias Grüning +1
Measuring the performance of text recognition and text line detection engines is an important step to objectively compare systems and their configuration. There exist well-establis…
Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition
Johannes Michael, Roger Labahn, Tobias Grüning +1
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 competi…
A Two-Stage Method for Text Line Detection in Historical Documents
Tobias Grüning, Gundram Leifert, Tobias Strauß +2
This work presents a two-stage text line detection method for historical documents. Each detected text line is represented by its baseline. In a first stage, a deep neural network…
CITlab ARGUS for historical handwritten documents
Gundram Leifert, Tobias Strauß, Tobias Grüning +1
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…
CITlab ARGUS for historical data tables
Gundram Leifert, Tobias Grüning, Tobias Strauß +1
We describe CITlab's recognition system for the ANWRESH-2014 competition attached to the 14. International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. The task…
CITlab ARGUS for historical handwritten documents
Tobias Strauß, Tobias Grüning, Gundram Leifert +1
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 compris…