Improve OCR Accuracy, Clean Up and Enhance Scanned Images
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Improving OCR accuracy involves optimizing scanned documents through pre-processing and cleanup. Pre-processing includes using adequate spacing, limiting lines and colors, and OCR-friendly fonts. During scanning, images should be cleaned up through techniques like adaptive thresholding, despeckling, and removing blank pages. Intelligent capture solutions like ImageRamp can enhance images for improved OCR accuracy through settings validation and optimization. Proper document handling and cleanup can be as important as scanning technologies for achieving high OCR accuracy needed in applications like healthcare and legal.
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Improve OCR Accuracy, Clean Up and Enhance Scanned Images
- 1. Improving OCR Accuracy Clean UpandEnhance Scanned Images
- 2. Cleaner Image = More Accurate OCR
- 3. Your acceptable level of OCR accuracy may depend on your application
- 4. Healthcare and Legal applications have high OCR accuracy requirements.
- 5. Pre- Scanning During Scanning Optimizing for the highest OCR accuracy generally is divided into two phases.
- 6. Form Design • adequate white space • limited lines Font Selection • monospace like Courier or san serif fonts like Helvetica • at least 10-13 points Color Selection • limited use of color Set pre-processing standards and procedures
- 7. During scanning… Scan at at least 300 dpi and CLEAN.
- 8. Most capture applications include basic cleaning features.
- 9. Go beyond the basics with DocuFi’s
- 10. Adaptive thresholding assists in cleaning “dirty” documents or documents with a colored background which interferes with the foreground data. Adaptive Thresholding
- 11. Adaptive thresholding assists in cleaning “dirty” documents or documents with a colored background which interferes with the foreground data. Adaptive Thresholding Most scanner and capture software can apply basic thresholding technology.
- 12. Adaptive Thresholding ImageRamp uses Adaptive Thresholding with advanced algorithms and Sensitivity settings allowing you to optimize the thresholding for your documents.
- 13. This option smoothes the edging of text. Smoothing text fills small pits in the edges of a character and removes small bumps on the edges. This improves legibility and reduce storage needs. Smooth Text
- 14. Dither Form Fills Black and white printed images may use dithering, often called dot shading, to simulate shades of gray by varying the patterns of dots. The Dither Form Fills feature removes areas of dot shading from an image. This function is used to make a black and white TIFF image appear as black and white and not a grayscale image.
- 15. This searches and resizes the document based on the outermost located raster data or pixels. Reset Margins
- 16. Using detected text as the basis for alignment, this tool is designed to work with scanned office documents and eliminate rescans. Deskew or Straighten Page
- 17. This selection detects and removes lines which may interfere with OCR interpretation. Remove Lines
- 18. Whether your scanned image is contaminated or a bad original, this option removes extraneous black specks and fills in white holes on black areas of an image. Remove Noise or Despeckle
- 19. Auto Rotate automatically evaluates orientation based on the text and rotates misoriented pages. Optionally, select a degree of rotation for ImageRamp to rotate all pages based on the selection. Auto Rotate and Rotate Pages
- 20. This can be used to eliminate unnecessary blank pages in a document and make the file size smaller. Blank page detection can also play a role in file splitting. Many users divide documents in a scanning stack with blank pages and ImageRamp can be set to split the stack of documents into multiple files when blanks are detected. Remove Blank Pages
- 21. Besides cleaning and enhancing the image, ImageRamp has other ways to improve OCR accuracy.
- 22. OCR with validation during processing is a very powerful way to eliminate entries not meeting a specific format rule. For instance if an inventory item should contain three alpha characters followed by five numbers, all documents with item numbers that are not identified in the OCR process with that pattern may be tagged for manual inspection before further processing is done. Field Validation Improves Accuracy. PEN21096 CAP36581 INV98453 PA568793
- 23. ImageRamp offers significant preview and testing options to fine- tune settings. Additionally ImageRamp offers PDF or TIFF output which may differ in OCR accuracy.
- 24. Set Pre- Processing Standards OCR Accuracy Scan at 300+ dpi Capture with Clean-up Wrap up: Ways to Improve OCR 3
- 25. Pre-Processing Standards Encourage accuracy by setting document procedures and guidelines to: Good pre-processing can be as important as the scanning technologies. • Use adequate white space • Limit lines and gridlines • Limit the use of color • Use OCR friendly fonts and sizes
- 26. Use an Intelligent Capture Solution such as ImageRamp
- 27. Learn More about Document Imaging and Capture
- 28. For more on: • Clean scans, • Ways to improve OCR scanning, • Cleaning documents for scanning, • Enhancing your images for improved OCR, • Watching folders, • Batch Processing, • Bulk scanning, • Split files with barcodes, • Barcode splitting, • Docufi, • Imageramp, • Watch folders, • Data capture, • Intelligent Data Capture Contact Us DocuFi 30 years’ experience in the Document Imaging market. Capture Products www.docufi.com ImageRamp Cleanup and Enhance for OCR Copyright ©2014 makers of ImageRamp, Document Management Capture Solution
- 29. Image Credits • Tim Evanson, “Albert V Bryan Federal District Courthouse - Alexandria Va - 0014 - 2012-03-10”, http://bit.ly/1iGIBpF • takacsi75, “Medicine 02”, http://bit.ly/1dtsIxK • ToastyKen,”New Mophead”, http://bit.ly/1ijjkkD • mjtmail (tiggy), “Day 307”, http://bit.ly/1g4G3Bw