Image Processing

Image Processing Capabilities

Image processing involves preparing an document image to be efficiently classified, separated, and data-extracted.

Detect DPI (Dot Per Inch)
Scale, flip, or rotate
Remove introduced noise
Remove field-level form structure and pre-printed text
Reshape distorted images
Adjust contrast and brightness
Remove backgrounds and watermarks

Improperly scanned documents are common, and IDP solutions offer basic pre-processing to mitigate issues. Common errors include documents scanned at an angle or upside down and introduced noise (e.g. specks, streaks, or borders) caused by the device used to digitize the original paper document.

Modern systems account for today's multi-channel document scanning needs that include fax, portable scanner, and smartphone imaging.

The quality of the image is fundamental to accurate IDP.

While systems can handle a wide variety of image quality issues, process improvements like incorporating high-quality scanning should be considered in project scope.

The goal of image processing is to get the image to a condition that will optimize classification, separation, and data extraction.

Be sure to select examples of poor-quality documents and compare the system’s ability to rectify the problems.