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Layout analysis software, that divide scanned documents into zones suitable for OCR; Graphical interfaces to one or more OCR engines; Software development kits that are used to add OCR capabilities to other software (e.g. forms processing applications, document imaging management systems, e-discovery systems, records management solutions)
Most ICR software has a self-learning system referred to as a neural network, which automatically updates the recognition database for new handwriting patterns.It extends the usefulness of scanning devices for the purpose of document processing, from printed character recognition (a function of OCR) to hand-written matter recognition.
Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...
The data obtained by this form is regarded as a static representation of handwriting. Offline handwriting recognition is comparatively difficult, as different people have different handwriting styles. And, as of today, OCR engines are primarily focused on machine printed text and ICR for hand "printed" (written in capital letters) text.
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A related field to OMR and OCR is the recognition of barcodes, such as the UPC bar code found on product packaging. One of the most familiar applications of OMR is the use of #2 pencil (HB in Europe) bubble optical answer sheets in multiple choice question examinations .
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IWR is not meant to replace ICR and OCR engines which work well with printed data; however, IWR reduces the number of character errors associated with these engines, and it is ideal for processing real-world documents that contain mostly freeform, hard-to-recognize data, inherently unsuitable for them. [5]