Font Recognition based on Global Texture Analysis

In this paper, we describe a novel texture analysis based approach towards font recognition. Existing methods are typically based on local typographical features that often require connected components analysis. In our method, we take the document as an image containing some specific textures, and regard font recognition as texture identification. The method is content-independent and involves no detailed local feature analysis. Experiments are carried out by made using 14,000 samples of 24 frequently used Chinese fonts (6 typefaces combined with 4 styles) as well as 32 frequently used English fonts (8 typefaces combined with 4 styles). An average recognition rate of 99.1% is achieved. Experimental results are also included on the robustness of the method against image degradation (e.g. Pepper & Salt noise) and on the comparison with existing methods.