Some tips on how to dramatically improve the accuracy of existing data capture and document automation systems.

1. Why Is it even important? Protect you investment Get the greatest possible ROI Ready for future demands Positioned for scaling Only when you have mastered your solution today should you / can you advance to the next

2. FIRST! Know your documents Most common question asked all vendors: “How accurate are you” – the un-answerable question It’s not as simple as you think Type of text/handprint Full Page / Data Capture Fixed / Semi-Structured Business process associated with recognition Level of variations Likelihood of new document types What are you willing to give up in exchange for accuracy

3. Form Design Corner Stones No underlined fields Ideal field types Proper Field spacing Favor simplicity Numbers Separated fields ex. Phone number consists of 3 separate fields

4. Paper Document Prep Bad prep, Bad! Folds Scan batch size Paper type Tacky paper

5. Scanning Resolution Bit Depth Black and White, size and accuracy Grayscale: size, accuracy, repurposing Color: accuracy, repurposing, and future demands Scanning feed path 72 Dpi 96 Dpi 150 Dpi 200 Dpi 300 Dpi 600 Dpi Greater Accuracy

6. Digital Document Prep Some image clean-up is good for OCR some isn’t Relative to the document type Border removal Deskew Despekeling Background Removal Character Regeneration Thresholding Dropout

7. Recognition Setup Pushing and Pulling levers Settings for your document type Settings for performance generally decrease accuracy Fine-Tuning Samples, Samples, Samples Does your workflow route exceptions, to the right place? Determine mile markers Realistic Goal Optimum

8. Final Thoughts The opportunity to improve the accuracy of current installation is very high The opportunity to improve the utilize more of the technology you already own is very high Other business units Don’t play the blame game, it’s a waste of time