Automatic Generation of Typographic Font from a Small Font Subset
This addresses the high demand for automated Japanese font generation to reduce the financial and time costs associated with professional typography, though it is incremental as it builds on existing stroke-based methods.
The paper tackles the problem of automatically generating a complete typographic font from a small subset of characters, specifically for Japanese fonts requiring over 1,000 characters, and demonstrates the method by generating 2,965 characters in 47 fonts with evaluations showing similarity to handmade characters.
This paper addresses the automatic generation of a typographic font from a subset of characters. Specifically, we use a subset of a typographic font to extrapolate additional characters. Consequently, we obtain a complete font containing a number of characters sufficient for daily use. The automated generation of Japanese fonts is in high demand because a Japanese font requires over 1,000 characters. Unfortunately, professional typographers create most fonts, resulting in significant financial and time investments for font generation. The proposed method can be a great aid for font creation because designers do not need to create the majority of the characters for a new font. The proposed method uses strokes from given samples for font generation. The strokes, from which we construct characters, are extracted by exploiting a character skeleton dataset. This study makes three main contributions: a novel method of extracting strokes from characters, which is applicable to both standard fonts and their variations; a fully automated approach for constructing characters; and a selection method for sample characters. We demonstrate our proposed method by generating 2,965 characters in 47 fonts. Objective and subjective evaluations verify that the generated characters are similar to handmade characters.