| title: |
| CITlab ARGUS for historical handwritten documents: Description of CITlab’s System
for the HTRtS 2014 Handwritten Text Recognition Task |
|
| series: |
|
| contributing persons: |
|
| |
| abstract: |
|
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 comprises the recognition of historical handwritten documents. The core algorithms
of our system are based on multidimensional 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] |
|
| document type: |
|
| institution: |
| Faculty of Mathematics and Natural Sciences |
|
| language: |
|
| subject class (DDC): |
|
| extent: |
|
1 Online-Ressource (8 Seiten)
|
|
| |
publication /
production: |
|
Rostock: University of Rostock, Institute of Mathematics
|
|
2014
|
|
| statement of responsibility: |
| Tobias Strauß, Tobias Grüning, Gundram Leifert, Roger Labahn |
|
| |
| identifiers: |
|
| |
| access condition: |
|
| license/rights statement: |
all rights reserved
This work may only be used under the terms of the German Copyright Law (Urheberrechtsgesetz). |
|
|
| RosDok id: |
rosdok_document_0000027943 |
| created / modified: |
09.10.2026 / 13.10.2026
|
| metadata license: |
The metadata of this document was dedicated to the public domain
(CC0 1.0 Universal Public Domain Dedication). |
access
viewer
fulltext