Ocr Benchmarking

OCR Benchmarking is a standardized evaluation framework used to systematically assess and compare the accuracy, efficiency, and robustness of optical character recognition methods, models, or systems under controlled conditions using predefined datasets, tasks, and performance metrics.

137

Publications

14.7K

Citations

436

Authors

161

Institutions

Publications per year

2017–2026

47

Authors

436

  1. TM
    Thomas M. Breuel

    University of Kaiserslautern, Germany

    6 publications · 407 citations

    6

    h-index

  2. FS
    Faisal Shafait

    German Research Centre for Artificial Intelligence, Germany

    6 publications · 577 citations

    6

    h-index

  3. BG
    Basilis Gatos

    National Centre of Scientific Research "Demokritos", Greece

    5 publications · 179 citations

    5

    h-index

  4. ML
    Marcus Liwicki

    German Research Centre for Artificial Intelligence, Germany

    4 publications · 112 citations

    4

    h-index

  5. SV
    Stephen V. Rice

    St. Jude Children's Research Hospital, United States

    4 publications · 316 citations

    4

    h-index

1–5 of 436

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 633 citations

    11

    h-index

  2. 9

    h-index

  3. 4

    h-index

  4. 4

    h-index

  5. IEEE Access

    3 publications · 111 citations

    3

    h-index

1–5