Writer Identification for Historical Manuscripts: Analysis and Optimisation of a Classifier as an Easy-to-Use Tool for Scholars from the Humanities
Hussein Mohammed|Volker Märgner|H. Siegfried Stiehl
Several methods have been proposed for the task of writer identification historical manuscripts. Most these evaluated on private datasets only, while few recently published dataset provided by Historical-WI competition at ICDAR-2017. Nevertheless, there is no thorough analysis in literature available w.r.t. degradation typically found digitized Furthermore, currently are beyond reach scholars from humanities; either because impracticality method itself, or lack an easy-to-use implementation. In this paper, we analyse a state-of-the-art against common types manuscripts using images virtual manuscript library Switzerland. show that, optimising key parameter, can enhance performance and significantly outperform winner competition. Finally, demonstrate practicality our implementation yielding intuitively comprehensible results direct use humanities.