A Systematic Approach to Improving Handwriting Recognition Accuracy
The following combination of programs is recommended for different styles of handwriting:
- Data preparation::
- Ensure image resolution ≥ 300 dpi
- High-contrast material using black and white text
- Eliminates shadows and reflections
- model adaptation::
- Specify clearly in the cue
"handwriting"typology - increase
"writing_style": "natural"parameters
- Specify clearly in the cue
- Enhancement techniques::
- Segmental Recognition Strategy for Hyphenated Characters
- Develop custom post-processing dictionaries
- Create a library of user-specific handwriting samples
Tests show that the optimized Chinese handwriting recognition accuracy can be up to 85-90%
This answer comes from the articleRolmOCR: Document OCR Model for Recognizing Handwritten and Slanted CharactersThe
May not be reproduced without permission:AI productivity tools " How to optimize handwriting recognition?
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