Skew Detection

Skew Detection is the process of identifying the angular deviation of a textual baseline from its expected horizontal or vertical orientation in a digitized document image, distinguishing it from other document layout analysis tasks by specifically quantifying rotational misalignment to enable subsequent correction and accurate optical character recognition.

405

Publications

18.2K

Citations

1K

Authors

433

Institutions

Publications per year

2017–2026

50

Authors

1K

  1. GH
    G. Hemantha Kumar

    University of Mysore, India

    8 publications · 115 citations

    8

    h-index

  2. NF
    Nikos Fakotakis

    University of Patras, Greece

    8 publications · 302 citations

    8

    h-index

  3. EK
    Ergina Kavallieratou

    University of the Aegean, Greece

    7 publications · 250 citations

    7

    h-index

  4. CL
    Chew Lim Tan

    National University of Singapore, Singapore

    7 publications · 229 citations

    7

    h-index

  5. GK
    G. Kokkinakis

    University of Patras, Greece

    7 publications · 287 citations

    7

    h-index

1–5 of 1K

Venues

  1. Pattern Recognition

    13 publications · 1K citations

    13

    h-index

  2. Pattern Recognition Letters

    12 publications · 549 citations

    12

    h-index

  3. IEEE Journal of Solid-State Circuits

    9 publications · 448 citations

    9

    h-index

  4. 7

    h-index

  5. 7

    h-index

1–5