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. 9.8% 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%
- 1.8k per year above
- Top-10% rate
- 9.8% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +43% the tick is no change
- Largest producer
China
38% of the 10 largest, 2022-now
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