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What is OCR and how does it work?
OCR is a technology that primarily aims to analyze an image, detect based on patterns if the image contains text, and extract that text into a machine readable format. This helps convert scanned documents into a digitally editable format while comparing the images of the available characters to the ones stored on its database for traditional OCR engines. The newer versions of OCR use machine learning (ML) techniques to recreate the characters and render the best possible match to the user.
Based on the image type and type of data that needs to be extracted, these character recognition engines use the options below to recognize text.
ICR/OCR:
ICR helps in converting handwritten text characters into a machine-readable format. The core difference between OCR and ICR is that in the case of OCR, its capability is restricted to printed data that looks the same given the standardization of multiple fonts. However, in the case of ICR, it is intelligent enough to decipher data from non-standard documents, which contain handwritten texts with varied formats.
MICR:
OCR uses the scanner’s optical sensor to capture the characters on the MICR line of the check. Using sophisticated algorithms, the data on the front of the check are converted into characters and compared with those capture by the magnetic read here for verification purposes.