It is a more sophisticated type of OCR technology that recognizes different handwriting styles and fonts to intelligently interpret data on forms and physical documents.
[1] These paper-based papers are scanned, the information is extracted, and the data is then digitally stored in a database program using ICR technology.
[1] Most ICR software has a self-learning system referred to as a neural network, which automatically updates the recognition database for new handwriting patterns.
Modern software applications use ICR as a technology of recognizing text in forms filled in by hand (hand-printed).
The recognition program must take into account not just stylistic differences but also the kind of writing implement used, the standard of the paper, errors, hand stability, and smudges or running ink.
ICR, which was created in the early 1990s to aid in the automation of forms processing, enables the conversion of manually entered data into text that is simple to read, search for, and change.
This means that the highest and best use of IWR is to eliminate a high percentage of the manual entry of handwritten data and run-on hand print fields on documents that otherwise could be keyed only by humans.