Forms processing: Difference between revisions

Revision as of 13:25, 16 May 2017

Revision as of 11:38, 24 May 2017

Line 8:

==Automated forms processing==

This method can automate data processing by using pre-defined templates and configurations. A template in this case, would be a ''map'' of the document, detailing where the data fields are located within the form or document. As compared to the manual data entry process, automatic form input systems are more preferable, since they help reduce the problems faced during manual data processing.

Automatic form input systems use different types of recognition methods such as [[optical character recognition]] (OCR) for machine print, [[optical mark recognition|optical mark reading]] (OMR) for check/mark sense boxes, [[bar code]] recognition (BCR) for barcodes, and [[intelligent character recognition]] (ICR) for hand print.

Line 20:

# Fixed forms. This type of form is defined as one in which the data to be extracted is always found in the same absolute position on a page. This allows a type of lens grid to be applied to the document and every subsequent occurrence of this document in order to extract the data. An example of a fixed form is a typical credit application form.<ref>{{Cite web|url=http://www.bfma.org/resource/resmgr/articles/05_04.pdf|title=CAPTURING SEMI-STRUCTURED FORMS AND DOCUMENTS: CHALLENGES AND AVAILABLE TECHNOLOGIES|last=Vassylyev|first=Artur|date=10 June 2008|website=|archive-url=|archive-date=|dead-url=|access-date=4 April 2017}}</ref>

# Semi-structured (or unstructured) form. This form is one in which the ___location of the data and fields holding the data vary from document to document. This type of document is perhaps most easily defined by the fact that it is not a fixed form. In the document capture industry, a semi-structured form is also called an unstructured form. Examples of these types of forms include letters, contracts, and invoices. According to a study by AIIM, about 80% of the documents in an organization fall under the semi-structured definition.<ref>{{Cite web|url=https://www.aiim.org/pdfdocuments/MIWP_Forms-Processing_2012.pdf|title=Forms Processing- user experiences of text and handwriting recognition (OCR/ICR)|last=|first=|date=|website=|archive-url=|archive-date=|dead-url=|access-date=4 April 2017}}</ref>

Although the components (described below) used for the the extraction of data from either type of form is the same the way in which these are applied varies considerably based upon the type of document.

===Components===