Handwritten Character Recognition

Handwritten Character Recognition is a subfield of Optical Character Recognition that specifically involves the automated identification and transcription of handwritten text from images or digital documents into machine-encoded text.

5.6K

Publications

366.6K

Citations

10K

Authors

2.3K

Institutions

Publications per year

2017–2026

1.5K

Authors

10K

  1. CY
    Ching Y. Suen

    Concordia University, Canada

    106 publications · 10.1K citations

    43

    h-index

  2. CL
    Cheng‐Lin Liu

    Chinese Academy of Sciences, China

    80 publications · 6.1K citations

    39

    h-index

  3. HB
    Horst Bunke

    University of Bern, Switzerland

    75 publications · 8.3K citations

    37

    h-index

  4. UP
    Umapada Pal

    Indian Statistical Institute, India

    67 publications · 4K citations

    36

    h-index

  5. MN
    Mita Nasipuri

    Jadavpur University, India

    63 publications · 2.8K citations

    28

    h-index

1–5 of 10K

Venues

  1. Pattern Recognition

    322 publications · 24.9K citations

    89

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 154 publications · 27.3K citations

    80

    h-index

  3. Pattern Recognition Letters

    122 publications · 5.7K citations

    42

    h-index

  4. 38

    h-index

  5. 31

    h-index

1–5