Historical Document Analysis

Historical Document Analysis is a subfield of Document Image Analysis that focuses on the computational processing, interpretation, and extraction of information from historical document images, distinguished by its emphasis on handling challenges specific to aged, degraded, or stylistically archaic documents.

291

Publications

21.3K

Citations

612

Authors

275

Institutions

Publications per year

2017–2026

84

Authors

612

  1. RI
    Rolf Ingold

    University of Fribourg, Switzerland

    15 publications · 513 citations

    14

    h-index

  2. MC
    Mohamed Cheriet

    École de Technologie Supérieure, Canada

    13 publications · 490 citations

    12

    h-index

  3. BG
    Basilis Gatos

    National Centre of Scientific Research "Demokritos", Greece

    12 publications · 781 citations

    12

    h-index

  4. ML
    Marcus Liwicki

    German Research Centre for Artificial Intelligence, Germany

    13 publications · 442 citations

    12

    h-index

  5. AA
    Apostolos Antonacopoulos

    University of Salford, United Kingdom

    12 publications · 492 citations

    12

    h-index

1–5 of 612

Venues

  1. 16

    h-index

  2. Pattern Recognition

    13 publications · 796 citations

    12

    h-index

  3. Pattern Recognition Letters

    5 publications · 193 citations

    5

    h-index

  4. 4

    h-index

  5. Journal of Imaging

    4 publications · 173 citations

    4

    h-index

1–5