Image Processing Software
Boost Work Efficiency Through AI-Accelerated Image Processing
Image processing software improves document images displayed to users throughout data capture workflows, leads to best-in-class OCR, and creates beautiful documents for permanent archival.
Grooper Design Studio facilitates easy testing of image processing to find ideal settings for your documents.
How Does Image Processing Software Improve OCR?
Document images that are made up of text, and free of non-text artifacts lead to great OCR (optical character recognition) results. Grooper has over 70 image processing features to ensure you get distraction-free OCR.
This also goes for ICR (intelligent character recognition).
Now let’s look at a few examples to show in detail what Grooper’s image processing is doing…
Safe and Clean Halftone Removal
Dithering and other halftone patterns are a direct result of legacy image processing software poorly converting color images to black and white.
These artifacts must be eliminated to prevent massive errors in OCR technology results, particularly with punctuation like periods and commas.
Before Halftone Removal:
Halftones completely surround text we would like to capture. OCR stands very little chance at seeing this text.
After Halftone Removal:
Grooper finds dithered patterns and safely removes them without eliminating punctuation that is close to letters on the page.
Seriously Brilliant Border Removal
Borders have commonly been very tricky to remove when the black region does not extend all the way to the edge of the page.
Grooper understands how to address a variety of uncommon border scenarios to cleanly remove them.
Photoshop-Like Inpainting
You work with full-color documents every day. So why shouldn’t your digital image processing software do the same, no matter the image format you are using?
This is no problem for Grooper intelligent document processing. Grooper leverages full-color document images for incredible object removal and editing.
Use this feature to digitally restore damaged or unknown parts of an image using information from nearby pixels.
Imagine the benefits of the best AI-accelerated document image software in your organization. Let us know how we can help you.
Image Processing Software: Pixel-Perfect Line Detection & Removal
For humans, lines are needed to provide visual cues that make documents easier to read. For example, lines of all sizes are common and frequent in forms, table structures, and pages with fill-in-the-blank boxes.
However, these lines (particularly the short, vertical ones) are commonly and mistakenly read by OCR engines as letters or numbers.
But with superior image processing, built-in computer vision erases these lines with ease…
- First, line dropout is performed using a very precise, pixel-by-pixel mask of lines rather than a generic point-to-point/thickness approach. This edge detection method leaves no artifacts behind, providing a cleaner OCR image.
- This approach works well with very short lines, even the lines that are smaller than many of the letters on your pages.
- Grooper knows the difference between lines that should be removed and text that should not be removed like “L, l, I, and 1”.
- Finally, any letters or numbers that happen to be connected to lines are found and saved, in order to keep valuable data for your OCR process.