Printings from the 19<hi xmlns="http://www.tei-c.org/ns/1.0" rend="superscript">th</hi> century represent a middle ground between the two periods introduced above, considering both the variability of typesets and the state of preservation of the scans. Mixed models have achieved encouraging results without the need for book-specific training but the expectable recognition accuracy still is substantially lower than for prints from the 21<hi xmlns="http://www.tei-c.org/ns/1.0" rend="superscript">st</hi> century (Breuel et al. 2013). Just as for modern prints, there is a great need for highly performant mixed models for 19<hi xmlns="http://www.tei-c.org/ns/1.0" rend="superscript">th</hi> Fraktur scripts since there are masses of scanned data available online, consisting of a variety of materials including novels, newspapers, journals, and even dictionaries.