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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
Handwritten Text Recognition Techniques
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