Written Number Recognition
Written Number Recognition is a computational task within the field of pattern recognition that involves identifying and interpreting numerals represented in written form, specifically distinguishing sequences of handwritten or printed digits and their corresponding numerical values from static or dynamic visual input.
90
Publications
3.4K
Citations
236
Authors
95
Institutions
Publications per year
2017–2026
17
90
1–5 of 90
236
7
h-index
5
h-index
3
h-index
Khulna University of Engineering and Technology, Bangladesh
3 publications · 82 citations
3
h-index
3
h-index
1–5 of 236
95

Indian Statistical Institute
Kolkata, India
6 h-index
14 publications
1.3K citations

Concordia University
Montreal, Canada
6 h-index
15 publications
662 citations
University of Bari Aldo Moro
Bari, Italy
4 h-index
13 publications
180 citations

Anna University, Chennai
Chennai, India
4 h-index
7 publications
189 citations
Khulna University of Engineering and Technology
Khulna, Bangladesh
3 h-index
9 publications
233 citations

International Islamic University Malaysia
Kuala Lumpur, Malaysia
3 h-index
4 publications
105 citations

The University of Sydney
Sydney, Australia
2 h-index
3 publications
68 citations
IBM (United States)
Armonk, United States
2 h-index
4 publications
59 citations
1–8 of 95
7 publications · 615 citations
7
h-index
3 publications · 151 citations
3
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3 publications · 81 citations
3
h-index
TPAMI · 2 publications · 536 citations
2
h-index
2 publications · 24 citations
2
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1–5