Alexander Hartelt, M. Sc.

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 My research focus is in particular on digitization of historical documents.

• Computer Vision

• Document analysis

• Layout detection/analysis

• Optical character recognition (especially on handwritten documents)

• Information extraction

• 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.