OCR/ICR – Optical/Intelligent Character Recognition

Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic conversion of scanned images of handwritten, typewritten, or printed text into machine-encoded text.
It is widely used as a form of data entry from printed paper data records, whether passport documents, invoices, bank statements,
computerized receipts, business cards, mail, printouts of static-data, or any suitable documentation.
It is a common method of digitizing printed texts so that it can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such as
machine translation, text-to-speech, key data and text mining.
OCR is a field of research in pattern recognition, artificial intelligence and computer vision.
In computer science, intelligent character recognition (ICR) is an advanced optical character recognition (OCR) or, more specifically,
a handwriting recognition system that allows fonts and different styles of handwriting to be learned by a computer during processing to improve accuracy and recognition levels.
Intelligent character recognition (ICR) targets handwritten printscript or cursive text one glyph or character at a time, usually involving machine learning.
NOTE: Keep in mind that OCR/ICR doesn't replace human revision of critical data. It is intended to be used as a tool to speed up data entry processes.
ChronoScan uses OCR to capture data from specific fields created by the user on the documents or by using the Intelli-Tag feature.
It is also possible to capture data from tables and barcodes.
ChronoScan was designed to have many advanced features while still being easy to use.
OCR/ICR – Optical/Intelligent Character Recognition
Examples of OCR fields used by ChronoScan to capture text on specific areas and OCR Grid (xGrid) used by ChronoScan to capture data from tables.

OCR Field

1. OCR Field
OCR Field used to capture data from specific areas.

OCR Grid

2. OCR Grid
Grid used to capture data formatted on tables.
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