Font Feature Engineering

Font Feature Engineering is a computational methodology within the field of digital typography that systematically designs, implements, and optimizes typographic variations and behaviors in fonts—such as ligatures, alternates, or stylistic sets—by encoding rule-based or data-driven features into font files to enhance expressiveness, legibility, or contextual adaptation.

16

Publications

760

Citations

38

Authors

19

Institutions

Publications per year

2017–2026

8

Authors

38

  1. RI
    Rolf Ingold

    University of Fribourg, Switzerland

    2 publications · 216 citations

    2

    h-index

  2. JX
    Jianguo Xiao

    Peking University, China

    2 publications · 131 citations

    2

    h-index

  3. AZ
    A. Zramdini

    University of Fribourg, Switzerland

    2 publications · 216 citations

    2

    h-index

  4. ZL
    Zhouhui Lian

    Peking University, China

    2 publications · 131 citations

    2

    h-index

  5. YT
    Yingmin Tang

    Peking University, China

    2 publications · 131 citations

    2

    h-index

1–5 of 38

Venues

  1. 2

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 14 citations

    1

    h-index

  3. Pattern Recognition

    1 publications · 37 citations

    1

    h-index

  4. Vision Research

    1 publications · 55 citations

    1

    h-index

  5. 1

    h-index

1–5