Handwritten Text Recognition Techniques
Handwritten Text Recognition Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 19k research works in it since 1951. 13.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers a wide range of topics related to handwriting recognition and text detection, including scene text recognition, document image analysis, neural networks for OCR, signature verification, text localization, and binarization techniques.
- Handwriting Recognition
- Text Detection
- Scene Text Recognition
- Document Image Analysis
- Neural Networks
- OCR Engine
- Signature Verification
- Text Localization
- Convolutional Neural Networks
- Binarization
- Research works
- 19k fractional, since 1951
- In the world top 10%
- 2.5k per year above
- Top-10% rate
- 13.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +42% the tick is no change
Which countries lead Handwritten Text Recognition Techniques research?
By volume, China and India publish the most (1.3k and 1.1k works in 2022–2025).
By volume, 2022–2025
- 1 China 1.3k works
- 2 India 1.1k works
- 3 United States 302 works
- 4 Indonesia 141 works
- 5 Japan 119 works
- 6 Germany 99 works
- 7 France 90 works
- 8 Bangladesh 80 works
- 9 ?? 78 works
- 10 South Korea 77 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Handwritten Text Recognition Techniques research?
By volume in 2022–2025, Amrita Vishwa Vidyapeetham publishes the most Handwritten Text Recognition Techniques research, followed by University of Science and Technology of China and Xinjiang University.
By volume, 2022–2025
- 1 Amrita Vishwa VidyapeethamIndia 45 works
- 2 University of Science and Technology of ChinaChina 33 works
- 3 Xinjiang UniversityChina 30 works
- 4 Saveetha UniversityIndia 27 works
- 5 South China University of TechnologyChina 27 works
- 6 SRM Institute of Science and TechnologyIndia 25 works
- 7 Chitkara UniversityIndia 24 works
- 8 Vellore Institute of Technology UniversityIndia 22 works
- 9 Chinese Academy of SciencesChina 21 works
- 10 Chandigarh UniversityIndia 20 works
Who are the leading researchers in Handwritten Text Recognition Techniques?
The most-cited researchers publishing on Handwritten Text Recognition Techniques include Yoshua Bengio, Alan Yuille and Anil K. Jain.
- 1 Yoshua Bengio Canada 17k citations
- 2 Alan Yuille United States 8.4k citations
- 3 Anil K. Jain United States 6.3k citations
- 4 Dacheng Tao Australia 6.1k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Handwritten Text Recognition Techniques research done?
The largest centres of Handwritten Text Recognition Techniques research in 2022–2025 are Beijing (China), Chennai (India), Shanghai (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Coimbatore and Greater Noida.
Largest cities, 2022–2025
Where it is the local speciality
- CoimbatoreIN · 64.3 works8.3×
- Greater NoidaIN · 23.2 works8.2×
Location quotient: how much more of its research is in Handwritten Text Recognition Techniques than the world average.
Where is the best place to study Handwritten Text Recognition Techniques?
Among universities, judged by research, University of Science and Technology of China, South China University of Technology and Amrita Vishwa Vidyapeetham score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | University of Science and Technology of ChinaChina | 63.8 | 16.7% | 6.1× | 33 | +386.8% |
| 2 | South China University of TechnologyChina | 63.3 | 26.7% | 5.6× | 27 | +108.2% |
| 3 | Amrita Vishwa VidyapeethamIndia | 58.5 | 4.6% | 18.6× | 45 | +79.0% |
| 4 | Chandigarh UniversityIndia | 53.4 | 6.1% | 8.1× | 20 | +216.7% |
| 5 | International Institute of Information Technology, HyderabadIndia | 52.5 | 22.7% | 44.2× | 10 | -49.6% |
| 6 | Chitkara UniversityIndia | 51.6 | 5.9% | 13.5× | 24 | — |
| 7 | University of Science and Technology BeijingChina | 51.6 | 24.7% | 3.5× | 12 | +309.1% |
| 8 | Visvesvaraya Technological UniversityIndia | 50.6 | 7.5% | 20.9× | 13 | +146.1% |
| 9 | Huazhong University of Science and TechnologyChina | 50.1 | 29.2% | 2.1× | 15 | +130.4% |
| 10 | Indian Statistical InstituteIndia | 48.7 | 18.2% | 24.1× | 9 | -20.9% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Handwritten Text Recognition Techniques research growing?
Output in 2018–2022 was 42% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Handwritten Text Recognition Techniques.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.