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The documents for data capture can be divided into 3 groups: structured, semi-structured, and unstructured. [citation needed] Structured documents (questionnaires, tests, insurance forms, tax returns, ballots, etc.) have completely the same structure and appearance. It is the easiest type for data capture because every data field is located at ...
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. The data is utilized ...
Book scanning or book digitization (also: magazine scanning or magazine digitization) is the process of converting physical books and magazines into digital media such as images, electronic text, or electronic books (e-books) by using an image scanner. [1] Large scale book scanning projects have made many books available online. [2]
The OMR software then works with a common desktop image scanner with a document feeder to process the forms once filled out. OMR is generally distinguished from optical character recognition (OCR) by the fact that a complicated pattern recognition engine is not required. That is, the marks are constructed in such a way that there is little ...
In the earlier implementations of Document Capture Software, the technology focused solely on the digitization and capture of information from paper documents. Document images were acquired from document scanners via TWAIN/ISIS drivers. Only image-based file formats like TIF, JPG, and BMP were typically compatible with these solutions.
However, if you need to do more scanning, more often, a sheet-feed scanner will be better, as this type lets you scan several pages at once via an automatic document feeder (ADF).
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