Search Results for author: Tobias Strauß

Found 6 papers, 1 papers with code

A Two-Stage Method for Text Line Detection in Historical Documents

2 code implementations9 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.

Clustering Data Augmentation +2

CITlab ARGUS for historical handwritten documents

no code implementations26 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.

General Classification

Regular expressions for decoding of neural network outputs

no code implementations15 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.

General Classification Handwritten Text Recognition +2

CITlab ARGUS for Arabic Handwriting

no code implementations15 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.

Handwriting Recognition

CITlab ARGUS for historical data tables

no code implementations15 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.

General Classification Handwriting Recognition

CITlab ARGUS for historical handwritten documents

no code implementations12 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.

General Classification Handwriting Recognition

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