University of Würzburg
Chair of Artificial Intelligence
and Knowledge Systems
Phone: +49 931 / 31-84275
In May 2019, I received my master’s degree in computer science at the University of Würzburg. Since July 2019 I work at the chair of Artificial Intelligence and Knowledge Systems in the field of Computer Vision. My research focus is in particular on digitization of historical documents.
Optical character recognition (especially on handwritten documents)
Deep Learning based segmentation algorithms
The Corpus Monodicum project is dedicated to the research, transcription and edition of music-historically significant, editorially still unexplored collections. In the context of this project, the transcription tool Ommr4all was developed, which provides tools and algorithms in a web interface to perform a semi-automatic transcription of these.
This is currently my main research focus.
Furthermore, I am part of the internal project Segmentation of Old Prints, which is also dedicated to the research and application of algorithms for segmentation and transcription of historical prints. Various tools have been developed (e.g. pixel classifier, contour-based approaches, baseline approaches), which are used for transcribing documents.
|Since WS 20/21||Artificial Intelligence I (Exercise)|
|Regularly||Seminar "Current Trends in artficial Intelligence" (Supervision for topics)|
|Regularly||Software Practical Course (Supervisor for Topics)|
OMMR4all - ein semiautomatischer Online-Editor für mittelalterliche Musiknotationen Wick, Christoph; Hartelt, Alexander; Puppe, Frank (2020). Zenodo.
Lyrics Recognition and Syllable Assignment of Medieval Music Manuscripts. Wick, Christoph; Hartelt, Alexander; Puppe, Frank (2020). 187–192.
Contour-Based Segmentation of Historical Printings. Fischer, Norbert; Gehrke, Alexander; Hartelt, Alexander; Krug, Markus; Puppe, Frank in Lecture Notes in Computer Science, U. Schmid, F. Klügl, D. Wolter (reds.) (2020). (Vol. 12325) 46–58.
OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings. Reul, Christian; Christ, Dennis; Hartelt, Alexander; Balbach, Nico; Wehner, Maximilian; Springmann, Uwe; Wick, Christoph; Grundig, Christine; Büttner, Andreas; Puppe, Frank in ArXiv Preprints (submitted to MDPI - Applied Sciences) (2019).
Staff, Symbol and Melody Detection of Medieval Manuscripts Written in Square Notation Using Deep Fully Convolutional Networks. Wick, Christoph; Hartelt, Alexander; Puppe, Frank in Applied Sciences (2019). 9(13)