Fraktur Recognition

Fraktur Recognition is a specialized subtask of Optical Character Recognition that involves the accurate identification and transcription of text written in Fraktur, a historical Blackletter script used predominantly in German-language documents, thereby enabling the digitization and computational analysis of culturally significant archival materials.

5

Publications

319

Citations

19

Authors

9

Institutions

Publications per year

2017–2026

3

Authors

19

  1. SD
    Stefanie Dipper

    Ruhr University Bochum, Germany

    1 publications · 27 citations

    1

    h-index

  2. AM
    Andreas Maier

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    1 publications · 16 citations

    1

    h-index

  3. AA
    Alessia Amelio

    University of Calabria, Italy

    1 publications · 10 citations

    1

    h-index

  4. VC
    Vincent Christlein

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    1 publications · 16 citations

    1

    h-index

  5. MK
    Mika Koistinen

    National Library of Finland

    1 publications · 19 citations

    1

    h-index

1–5 of 19

Venues

  1. 1

    h-index

  2. Applied Artificial Intelligence

    AAI · 1 publications · 10 citations

    1

    h-index

1–2