Concepedia

Dictionary-free Recognition

Dictionary-Free Recognition is an optical character recognition approach that identifies textual content without relying on predefined lexicons or language dictionaries, distinguishing itself from dictionary-based methods by enabling recognition of arbitrary or unseen character sequences through character-level analysis.

2

Publications

79

Citations

14

Authors

4

Institutions

Publications per year

2017–2026

0

Parents

Publications

2

1–2 of 2

Authors

14

  1. TG
    Thomas G. Dietterich

    Oregon State University, United States

    1 publications · 57 citations

    1

    h-index

  2. RS
    Raid Saabne

    Academic College of Tel Aviv-Yafo, Israel

    1 publications · 22 citations

    1

    h-index

  3. AR
    Andrew R. Moldenke

    Oregon State University, United States

    1 publications · 57 citations

    1

    h-index

  4. WZ
    Wei Zhang

    Michigan State University, United States

    1 publications · 57 citations

    1

    h-index

  5. GM
    Gonzalo Martínez-Muñoz

    Universidad Autónoma de Madrid, Spain

    1 publications · 57 citations

    1

    h-index

1–5 of 14

Institutions

4

  1. University of Washington

    Seattle, United States

    1 h-index

    2 publications

    114 citations

  2. Academic College of Tel Aviv-Yafo

    Tel Aviv, Israel

    1 h-index

    1 publications

    22 citations

  3. Oregon State University

    Corvallis, United States

    1 h-index

    9 publications

    513 citations

  4. Tel Aviv University

    Tel Aviv, Israel

    1 h-index

    2 publications

    44 citations

1–4 of 4

Venues

  1. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 1 publications · 57 citations

    1

    h-index

1–1