What is eCodicology?


…started in May 2013 as follow up project of the DFG funded projext Virtuelles Scriptorium St. Matthias. In the Virtual Scriptorium, medieval manuscripts of the Benedictine Abbey of St. Matthias in Trier were digitised and merged. These digital copies are further utilised in eCodicology with the aim to attract new codicological data from the existing digital images of medieval manuscripts.
eCodicology is the BMBF funded joint research project of Technical University of Darmstadt, the Karlsruhe Institute of Technlogy and the University of Trier. The main purpose of the project is the development, testing and optimization of new algorithms for the identification of macro- and micro-structural layout elements of the manuscript pages in order to enrich their metadata in XML format according to the TEI P5 standards. The already existing manuscript descriptions can thus be enriched automatically.
The project uses various image processing and feature extraction techniques which allows to detect and extract various layout features of digitized manuscript pages. As a result, humanities schlolars can analyze and find new hidden relationships in 170,000 pages of medieval manuscripts.
eCodicology exceeds the established standards of the virtual reconstruction of historic libraries, which aim for reunion, textual preparation and presentation of the collection. The project also aspires the resusability for future projects. The algorithms proved on the manuscripts of St. Matthias can serve as serving point for analyses of further manuscripts collections.


We are a team of four young scholars with different study backgrounds and different tasks within the project. While Celia, Hannah and Philipp are humanists by training but getting more and more experienced in new digital technologies, Swati is our computer scientist and currently learning a lot about the work of and with humanists and about latin medieval manuscripts.

During Day of DH we are trying to give you some inside view of the work within our project.Bild1