137 citations · 172 across the 7 of their papers we have counts for
9 papers
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…
System Description of CITlab's Recognition & Retrieval Engine for ICDAR2017 Competition on Information Extraction in Historical Handwritten Records
Tobias Strauß, Max Weidemann, Johannes Michael +3
We present a recognition and retrieval system for the ICDAR2017 Competition on Information Extraction in Historical Handwritten Records which successfully infers person names and o…
A Two-Stage Method for Text Line Detection in Historical Documents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This work presents a two-stage text line detection method for historical documents.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…