Clustering of medieval scripts through computer image analysis: Towards an evaluation protocol
Dominique Stutzmann · Digital Medievalist · 2015
This paper addresses the question of "objective" categories of medieval scripts and their elaboration through both medieval palaeography and image analysis. It introduces a dataset of 9800 images and metadata from the catalogues of dated manuscripts in France, as a "ground truth" and evaluation protocol, to be used for image feature analysis, taxonomy building, and clustering methods. It further compares the results of the categorization performed by two teams, one in Lyon (LIRIS/INSA, Frank Lebourgeois) and the other in Tel-Aviv (The Blavatnik School of Computer Science at Tel Aviv University, Lior Wolf). It also addresses the questions of taxonomy, interpretation and goals of the interdisciplinary research, such as development of "expert systems" or exploratory research.