Word Segmentation

Word Segmentation is the document image analysis task of partitioning a textual image into individually meaningful word units based on spatial, typographic, or lexical cues, distinguishing it from other segmentation levels such as character or line segmentation.

1.5K

Publications

85.4K

Citations

3.2K

Authors

943

Institutions

Publications per year

2017–2026

373

Authors

3.2K

  1. YZ
    Yue Zhang

    Westlake University, China

    16 publications · 1.1K citations

    16

    h-index

  2. BG
    Basilis Gatos

    National Centre of Scientific Research "Demokritos", Greece

    17 publications · 1.1K citations

    15

    h-index

  3. JR
    Jenny R. Saffran

    University of Wisconsin–Madison, United States

    15 publications · 13.2K citations

    15

    h-index

  4. MJ
    Mark Johnson

    Brown University, United States

    19 publications · 1.5K citations

    15

    h-index

  5. SN
    Sargur N. Srihari

    University at Buffalo, State University of New York, United States

    20 publications · 915 citations

    15

    h-index

1–5 of 3.2K

Venues

  1. Pattern Recognition

    27 publications · 2.1K citations

    24

    h-index

  2. arXiv (Cornell University)

    Repository · 35 publications · 1.6K citations

    22

    h-index

  3. IEEE Access

    21 publications · 780 citations

    16

    h-index

  4. 14

    h-index

  5. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 12 publications · 2.6K citations

    13

    h-index

1–5