Post-processing Error Correction

Post-Processing Error Correction is a computational technique in Optical Character Recognition that belongs to the class of error correction methods and is specifically distinguished by its application after initial character recognition to identify and rectify recognition errors using linguistic, contextual, or statistical knowledge.

73

Publications

2.6K

Citations

216

Authors

83

Institutions

Publications per year

2017–2026

22

Authors

216

  1. MC
    Mickaël Coustaty

    La Rochelle Université, France

    4 publications · 203 citations

    4

    h-index

  2. AD
    Antoine Doucet

    La Rochelle Université, France

    4 publications · 203 citations

    4

    h-index

  3. KT
    Kazem Taghva

    University of Nevada, Las Vegas, United States

    3 publications · 64 citations

    3

    h-index

  4. JB
    Julie Borsack

    University of Nevada, Las Vegas, United States

    3 publications · 64 citations

    3

    h-index

  5. AC
    Allen Condit

    University of Nevada, Las Vegas, United States

    3 publications · 64 citations

    3

    h-index

1–5 of 216

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 125 citations

    4

    h-index

  2. Pattern Recognition

    3 publications · 131 citations

    3

    h-index

  3. 2

    h-index

  4. AIAA Atmospheric Flight Mechanics Conference

    Conference · 1 publications · 36 citations

    1

    h-index

  5. Journal of Synchrotron Radiation

    1 publications · 26 citations

    1

    h-index

1–5