What are some best practices for improving OCR accuracy, especially when dealing with scanned documents with varying qualities and fonts?
For scanned documents if you are using Tesseract OCR set the profile to Scan. If you aren’t getting accurate data try changing the scale from 0-5, keeping Image DPI in 150 or 270. Try in both the Image DPI with different scaling.
Hope you understand!!
Hi @Narotham_Reddy_B ,
• Language Selection: Ensure that the OCR engine is configured for the correct language of the scanned documents. OCR engines are trained for specific languages, and selecting the appropriate one can significantly improve accuracy.
• Resolution and DPI: Use high-resolution images with an appropriate DPI (dots per inch) setting. Higher resolution images generally lead to better OCR results.
• Pre-processing: Apply image pre-processing techniques, such as deskewing, noise reduction, and contrast enhancement, to improve the quality of scanned images before OCR.
• Font Consistency: Maintain consistent font styles and sizes across your documents. OCR accuracy can be affected by variations in font types and sizes.
Regards
AutomationXbyKiran
1 Like
This topic was automatically closed 3 days after the last reply. New replies are no longer allowed.