Arabic Script Recognition

Arabic Script Recognition is a specialized subfield of Optical Character Recognition that focuses on the automated identification and transcription of written characters in the Arabic script, distinguished by its handling of the script’s cursive nature, contextual letter forms, and diacritical marks.

458

Publications

16K

Citations

863

Authors

318

Institutions

Publications per year

2017–2026

136

Authors

863

  1. AM
    Adel M. Alimi

    University of Sfax, Tunisia

    36 publications · 1.3K citations

    23

    h-index

  2. MK
    Monji Kherallah

    University of Sfax, Tunisia

    22 publications · 818 citations

    16

    h-index

  3. HE
    Haikal El Abed

    Technische Universität Braunschweig, Germany

    17 publications · 929 citations

    16

    h-index

  4. SN
    Saeeda Naz

    King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia

    12 publications · 477 citations

    11

    h-index

  5. VM
    Volker Märgner

    Technische Universität Braunschweig, Germany

    10 publications · 688 citations

    10

    h-index

1–5 of 863

Venues

  1. Pattern Recognition

    24 publications · 1.4K citations

    22

    h-index

  2. 12

    h-index

  3. IEEE Access

    10 publications · 319 citations

    10

    h-index

  4. Pattern Recognition Letters

    9 publications · 590 citations

    8

    h-index

  5. 7

    h-index

1–5