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| Analysis of Historical Documents Analysis of historical documents, in particular processing
of hand-written texts. Writer retrieval, text detection,
text segmentation. | Project manager:
Dr.-Ing. Vincent Christlein
Project participants:
Dr.-Ing. Vincent Christlein, Dipl.-Inf. Martin Gropp
Keywords:
historical documents, handwriting, writer retrieval, writer identification, text detection
Start: 1.2.2016
Contact:
Christlein, Vincent
Phone +49 9131 85 27823, Fax +49 9131 85 27270, E-Mail: vincent.christlein@fau.de
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Christlein, Vincent ; Diem, Markus ; Kleber, Florian ; Mühlberger, Günter ; Schwägerl-Melchior, Verena ; van Gelder, Esther ; Maier, Andreas: Automatic Writer Identification in Historical Documents: A Case Study. In: Zeitschrift für digitale Geisteswissenschaften (2016)
[doi>10.17175/2016_002] | Hofmann, Simon ; Gropp, Martin ; Bernecker, David ; Pollin, Christopher ; Maier, Andreas ; Christlein, Vincent: Vesselness for Text Detection in Historical Document Images. In: IEEE (Ed.) : 2016 IEEE International Conference on Image Processing (ICIP) (2016 IEEE International Conference on Image Processing (ICIP) Phoenix, USA 25.09.2016). 2016, pp 3259-3263.
[doi>10.1109/ICIP.2016.7532962] | | Christlein, Vincent ; Gropp, Martin ; Maier, Andreas: Technical Tools for the Analysis of High Medieval Papal Charters. In: Herbers, Klaus ; Trenkle, Viktoria (Ed.) : Papstgeschichte im Digitalen Zeitalter. Neue Zugangsweisen zu einer Kulturgeschichte Europas. Vol. 85. Wien : Böhlau Verlag GmbH & Cie, 2018, pp 45-53. - ISBN 978-3-412-50959-0 | Kestemont, Mike ; Christlein, Vincent ; Stutzmann, Dominique: Artificial Paleography: Computational Approaches to Identifying Script Types in Medieval Manuscripts. In: Speculum 92 (2017), No. 51, pp 86-109
[doi>10.1086/694112] | Christlein, Vincent ; Gropp, Martin ; Fiel, Stefan ; Maier, Andreas: Unsupervised Feature Learning for Writer Identification and Writer Retrieval. In: IEEE (Ed.) : 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) (14th IAPR International Conference on Document Analysis and Recognition (ICDAR) Kyoto, Japan 13.11.2017). 2017, pp 991-997.
[doi>10.1109/ICDAR.2017.165] |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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