Steps to solve the complex PDF formula recognition accuracy
The VOP tool realizes high-precision mathematical formula extraction through the fusion of multiple technologies, and the operation needs to focus on the following links:
- Preprocessing Optimization: The input file should meet the 300DPI resolution requirement, run the command add
--dpi 300parameters - Dedicated Mode Enable: must be used
--mode mathActivate formula-specific processing flow, invoke MathPix + Google Vision dual engine - output calibration: A phased approach is recommended:
- first use
ocr_stage1.pyExtract the original formula image - pass (a bill or inspection etc)
ocr_stage2.pyGenerating LaTeX and natural language descriptions
- first use
- API Configuration: in
config/mathpix_config.jsonConfigure professional API keys and prioritize MathPix's Academic Edition package (5,000 monthly limit)
Special note: Japanese papers are processed in the--langAppend to the parameterjpnlinguistic markers to avoid symbol misclassification.
This answer comes from the articleVOP: OCR Tool for Extracting Complex Diagrams and Math FormulasThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of recognition accuracy in extracting mathematical formulas from complex PDFs?
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