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
705
Kam‐Fai Wong, R. G. Casey, Friedrich M. Wahl · IBM Journal of Research and Development · 1982 · 590 citations
Generalized Learning Vector Quantization
Atsushi Sato, Keiji Yamada · 1995 · 478 citations
1–5 of 705
1.5K
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557

Indian Statistical Institute
Kolkata, India
17 h-index
50 publications
2.6K citations

UNSW Sydney
Sydney, Australia
11 h-index
16 publications
644 citations

Concordia University
Montreal, Canada
11 h-index
25 publications
989 citations
IBM (United States)
Armonk, United States
10 h-index
18 publications
3.2K citations
University of Sfax
Sfax, Tunisia
10 h-index
28 publications
862 citations

Punjabi University
Patiāla, India
9 h-index
16 publications
292 citations

King Fahd University of Petroleum and Minerals
Dhahran, Saudi Arabia
8 h-index
19 publications
629 citations
University at Buffalo, State University of New York
Buffalo, United States
7 h-index
19 publications
755 citations
1–8 of 557
39 publications · 2.4K citations
24
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TPAMI · 23 publications · 3.1K citations
20
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12 publications · 530 citations
12
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13 publications · 191 citations
11
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10 publications · 907 citations
10
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1–5