  Although lots of progress were made in Text Recognition/OCR in recent years,
the task of font recognition is remaining challenging. The main challenge lies
in the subtle difference between these similar fonts, which is hard to
distinguish. This paper proposes a novel font recognizer with a pluggable
module solving the font recognition task. The pluggable module hides the most
discriminative accessible features and forces the network to consider other
complicated features to solve the hard examples of similar fonts, called HE
Block. Compared with the available public font recognition systems, our
proposed method does not require any interactions at the inference stage.
Extensive experiments demonstrate that HENet achieves encouraging performance,
including on character-level dataset Explor_all and word-level dataset AdobeVFR
