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Author: Klaus Prätel

Affiliation: TU Berlin, Germany

Keyword(s): New Geometrical Features, German Cursive.

Related Ontology Subjects/Areas/Topics: Applications ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Clustering ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Health Engineering and Technology Applications ; ICA, PCA, CCA and other Linear Models ; Image Understanding ; Image-Based Modeling ; Incremental Learning ; Pattern Recognition ; Signal Processing ; Software Engineering ; Stochastic Methods ; Theory and Methods

Abstract: In 2007, the project Herbar-Digital was launched at the University of Applied Sciences and Arts Hannover (Steinke, K.-H., Dzido, R., Gehrke, M., Prätel, K., 2008). The aim of this project is to realize a global Herbarium, to compare findings quickly and catalog. There are many herbaria, i.e. collections of herbarium specimens worldwide. Herbarium specimens are paper pages where botanical elements are glued on. This herbarium specimens are provided with some important clues, such as the name of the submitter, barcode, color table, flag for first record, description of the findings, this often handwritten. All information on the herbarium specimens should be evaluated digitally. Since a number of discoveries in the 19th Century took place, Alexander von Humboldt is to be mentioned, here is the challenge to identify specific manuscripts from this period. This paper describes the topic recognition of old German handwriting (cursive).

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Paper citation in several formats:
Prätel, K. (2017). New Features for the Recognition of German-Kurrent-Handwriting with HMM-based Offline Systems. In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-222-6; ISSN 2184-4313, SciTePress, pages 366-371. DOI: 10.5220/0006185403660371

@conference{icpram17,
author={Klaus Prätel.},
title={New Features for the Recognition of German-Kurrent-Handwriting with HMM-based Offline Systems},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2017},
pages={366-371},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006185403660371},
isbn={978-989-758-222-6},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - New Features for the Recognition of German-Kurrent-Handwriting with HMM-based Offline Systems
SN - 978-989-758-222-6
IS - 2184-4313
AU - Prätel, K.
PY - 2017
SP - 366
EP - 371
DO - 10.5220/0006185403660371
PB - SciTePress