Printed Character Recognition

Printed Character Recognition is a subfield of Optical Character Recognition that specifically involves the automated identification and transcription of characters from printed text in digital images or scanned documents, distinguished from handwritten or cursive text recognition by its focus on standardized, machine-generated glyphs.

705

Publications

28K

Citations

1.5K

Authors

557

Institutions

Publications per year

2017–2026

117

Authors

1.5K

  1. UP
    Umapada Pal

    Indian Statistical Institute, India

    16 publications · 1K citations

    14

    h-index

  2. BC
    B.B. Chaudhuri

    Indian Statistical Institute, India

    15 publications · 893 citations

    12

    h-index

  3. AA
    Adnan Amin

    UNSW Sydney, Australia

    11 publications · 547 citations

    11

    h-index

  4. CY
    Ching Y. Suen

    Concordia University, Canada

    9 publications · 495 citations

    9

    h-index

  5. GS
    Gurpreet Singh Lehal

    Punjabi University, India

    9 publications · 189 citations

    9

    h-index

1–5 of 1.5K

Venues

  1. Pattern Recognition

    39 publications · 2.4K citations

    24

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 23 publications · 3.1K citations

    20

    h-index

  3. 12

    h-index

  4. International Journal of Computer Applications

    13 publications · 191 citations

    11

    h-index

  5. IEEE Transactions on Computers

    10 publications · 907 citations

    10

    h-index

1–5