Key Steps to Optimize OCR Recognition
For scanned documents common fuzzy, skewed, background interference and other issues, PDF-Extract-Kit integrated PaddleOCR technology stack and provides the following optimization means:
- Multi-language adaptation:Set up automatic language detection in configs/model_configs.yaml:
ocr_args.
lang: "auto" # or explicitly specify "ch", "en" etc. - Preprocessing Enhancement:Enable image enhancement with command line parameters:
-preprocess denoise+deskew # Support for combined commands - Model fine-tuning:For specialized documents (e.g., medical records), the default model can be replaced by downloading the domain adaptation weights at huggingface
Effectiveness Verification Tips:It is recommended to test different configurations on single page samples first, and identify the region labeling by comparing them with the -vis parameter. When encountering special fonts, you can add custom font libraries to the resources/fonts directory under the project.
This answer comes from the articlePDF-Extract-Kit: extract the complex structure of PDF content of open source toolsThe
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