For their specific applications, optical Character recognition (OCR) and intelligent character recognition (ICR) demonstrate high levels of accuracy when working with constrained text (i.e., lines, boxes and combs)
Last year, we set out with AIIM to measure the adoption of automated recognition of both Optical Character Recognition and Intelligent Character Recognition for processing forms
Digital documents, email and optical character recognition (OCR) technology allows organizations to reduce filing and retrieval costs, data entry costs and eliminate costs of ink, paper and associated labor costs
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“How are we doing relative to our peer group or competitors?” We hear this question a lot from customers and partners. They want to know they are tracking against their industry in terms of read rates, throughput, and accuracy, among other factors. Are they underperforming, and if...
OCR (Optical Character Recognition) is commonly used to convert different types of typed documents, such as scanned paper documents, PDF files or images captured by a digital camera, into editable and searchable data. ICR (Intelligent Character Recognition) has more nuanced definitions, but in most industry vernacular is used generically to refer to the recognition of handwriting, ranging anywhere from block-print to cursive
As you can see in the image below the OMR (Optical Mark Recognition - checkboxes), ICR (Intelligent Character Recognition – Handwritten) and OCR (Optical Character Recognition – Machine characters) are much cleaner on the bitonal image on the left
” But the detail it contains speaks well to the broader issue, and what it reminds me is that optical character recognition, as great as it is, needs to be deployed in partnership with other compliance-aware solutions and personnel (yes, actual human beings) to ensure data that shouldn't be made generally available, isn't
Improvement ideas include better form design, use of color dropout, understanding field vs. character recognition, use of context, dictionaries and tri-grams, etc
· Recognition – using OCR (or Optical Character Recognition) to convert printed characters or machine text into digital files; ICR (Intelligent Character Recognition) a step above the former, to read constrained handprint, including printed characters in a form, box or other document limitations, and handprint, including cursive, barcodes, and more
This is especially important for forms processing / OCR applications in order to improve character recognition. There are number of image enhancement techniques available today