Title
Automatic Generation of Typographic Font From Small Font Subset
Abstract
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.
Year
DOI
Venue
2017
10.1109/MCG.2019.2931431
IEEE Computer Graphics and Applications
Keywords
DocType
Volume
Skeleton,Shape,Standards,Trajectory,Task analysis,Manifolds,Deep learning
Journal
40
Issue
ISSN
Citations 
1
0272-1716
1
PageRank 
References 
Authors
0.35
12
7
Name
Order
Citations
PageRank
tomo miyazaki165.31
Tatsunori Tsuchiya210.35
Yoshihiro Sugaya367.34
Shinichiro Omachi420425.00
Masakazu Iwamura545245.67
Seiichi Uchida6790105.59
Koichi Kise7948139.96