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
Variants
Hcr
5.6K
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio et al. · Proceedings of the IEEE · 1998 · 58.2K citations · Full text
Backpropagation Applied to Handwritten Zip Code Recognition
Yann LeCun, Bernhard E. Boser, J. S. Denker et al. · Neural Computation · 1989 · 11.9K citations
Tin Kam Ho · 2002 · 5K citations
Artificial neural networks: a tutorial
Abhishek Jain, Jianchang Mao, Khalid Mohiuddin · Computer · 1996 · 4.9K citations
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2.3K

Indian Statistical Institute
Kolkata, India
47 h-index
265 publications
13.9K citations

Concordia University
Montreal, Canada
45 h-index
257 publications
22.1K citations
University at Buffalo, State University of New York
Buffalo, United States
42 h-index
281 publications
19.3K citations

Chinese Academy of Sciences
Beijing, China
39 h-index
302 publications
18.3K citations
AT&T (United States)
Bedminster, United States
35 h-index
157 publications
287.8K citations
University of Bern
Bern, Switzerland
35 h-index
158 publications
13K citations
Institute of Automation
Beijing, China
33 h-index
218 publications
13.9K citations

Jadavpur University
Kolkata, India
31 h-index
290 publications
12.8K citations
1–8 of 2.3K
322 publications · 24.9K citations
89
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TPAMI · 154 publications · 27.3K citations
80
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122 publications · 5.7K citations
42
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95 publications · 5.8K citations
38
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85 publications · 3.7K citations
31
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