In their experiments, they find that semantic attributes are more conducive to predicting the similarity of fonts than geometrical features.
making use of a set of semantic attributes, they learn a font similarity metric based on crowdsourced comparisons, in which users need to assess which of two presented fonts is more similar to a provided reference font.