Letterform Generation

Letterform Generation is a computational method that synthesizes typographic letterforms through algorithmic or parametric processes, distinguishing it from manual design by automating the creation of character shapes based on formal, linguistic, or stylistic rules.

14

Publications

3.2K

Citations

35

Authors

18

Institutions

Publications per year

2017–2026

2

Authors

35

  1. RP
    Réjean Plamondon

    Polytechnique Montréal, Canada

    2 publications · 55 citations

    2

    h-index

  2. CW
    Cunrui Wang

    Dalian Minzu University, China

    1 publications · 18 citations

    1

    h-index

  3. ZM
    Zoila M. Ganuza

    University of Minnesota, United States

    1 publications · 31 citations

    1

    h-index

  4. CD
    Clyde D. McQueen

    1 publications · 12 citations

    1

    h-index

  5. RL
    Rachel London

    University of Minnesota, United States

    1 publications · 31 citations

    1

    h-index

1–5 of 35

Venues

  1. Defense Technical Information Center (DTIC)

    Repository · 1 publications · 12 citations

    1

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  2. Expert Systems with Applications

    1 publications · 18 citations

    1

    h-index

  3. International Journal of Computer Vision

    1 publications · 50 citations

    1

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  4. Journal of Behavioral Education

    1 publications · 31 citations

    1

    h-index

  5. Speech Communication

    1 publications · 17 citations

    1

    h-index

1–5