| title: |
| CITlab ARGUS for historical data tables: Description of CITlab’s System for the ANWRESH-2014
Word Recognition Task |
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| series: |
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| abstract: |
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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 The task comprises word recognition from segmented historical documents. The
core components of our system are based on multi-dimensional recurrent neural networks
(MDRNN) and connectionist temporal classification (CTC). The software modules behind
that as well as the basic utility technologies are essentially powered by PLANET’s
ARGUS framework for intelligent text recognition and image processing.
[English] |
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| document type: |
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| institution: |
| Faculty of Mathematics and Natural Sciences |
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| language: |
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| subject class (DDC): |
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| extent: |
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1 Online-Ressource (7 Seiten)
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publication /
production: |
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Rostock: University of Rostock, Institute of Mathematics
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2014
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| statement of responsibility: |
| Gundram Leifert, Tobias Grüning, Tobias Strauß, Roger Labahn |
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| identifiers: |
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| access condition: |
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| license/rights statement: |
all rights reserved
This work may only be used under the terms of the German Copyright Law (Urheberrechtsgesetz). |
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| RosDok id: |
rosdok_document_0000027949 |
| created / modified: |
10.10.2026 / 13.10.2026
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| metadata license: |
The metadata of this document was dedicated to the public domain
(CC0 1.0 Universal Public Domain Dedication). |
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