Alexander Hartelt

Alexander Hartelt is a researcher at the Institute of Computer Science, Faculty of Mathematics and Computer Science, University of Würzburg. He works at the Chair of Artificial Intelligence and Knowledge Systems (Computer Science VI) focusing on computer vision applications for historical document digitization.

His research interests include:

• Computer Vision for historical document analysis
• Layout recognition and segmentation algorithms
• Optical character recognition (specializing in handwritten documents)
• Deep learning-based information extraction
• Digital preservation of cultural heritage materials

Hartelt's recent publications demonstrate strong focus on medieval music manuscripts and historical print digitization. His work combines contour-based segmentation, deep learning networks, and open-source tool development to address challenges in historical document processing. Key application areas include music notation transcription and OCR for aged printed materials.

Hartelt has been actively teaching since Winter Semester 2020/21, supervising:

• Artificial Intelligence I exercises
• Current Trends in Artificial Intelligence seminars
• Software internship topics

His primary research projects include:

• Corpus Monodicum: Researching, transcribing and editing historically significant monodic music collections using the Ommr4all transcription tool
• Segmentation of Old Prints: Developing algorithms for segmentation and transcription of historical printed materials using pixel classifiers, contour-based approaches, and baseline detection methods