Article: Redesigning Banking PDF Table Extraction: A Layered Approach with Java
📰 InfoQ AI/ML
Learn how to improve PDF table extraction in banking using a layered approach with Java, making extraction more robust and reliable
Action Steps
- Use stream parsing to extract text from PDFs
- Apply lattice/OCR techniques to identify table structures
- Validate extracted data using business rules
- Score extracted data based on confidence levels
- Apply selective machine learning models to improve extraction accuracy
Who Needs to Know This
Data engineers, software developers, and data scientists working on banking applications can benefit from this approach to improve the accuracy of PDF table extraction
Key Insight
💡 A layered approach combining stream parsing, lattice/OCR, validation, scoring, and selective ML can significantly improve the accuracy of PDF table extraction in banking
Share This
📈 Improve PDF table extraction in banking with a layered approach using Java! 📊
DeepCamp AI