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Document Capture is the Onramp to Analytics

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

Don Dew's profile image

Blog Entry
Capture: The benefit is there, have you realized it?

The reality is capture, in full and as defined in the AIIM Industry Watch titled “Document Scanning and Capture: local, central, outsource – what’s working best” , it is a combination of document scanning, image correction, recognition of text, Barcodes, form fields, etc. and finally, output to an appropriate format for subsequent processing or archive storage.This research goes on to find that: 78% of those surveyed have some form of distributed scanning via MFPs, desk top scanners or branch-office scanners

Bob Larrivee's profile image

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Modern OCR has game

Many modern day engines changed nothing to the core character level recognition...The greatest improvements in OCR in the last 10 years have not been so much on character level recognition

Chris Riley, ECMp, IOAp's profile image

Blog Entry
Automate, Automate, Automate: Bridging the Gap Between Capture and Process, an AIIM 2014 Presentation

an analyst company specializing in advanced document imaging technology and solutions, with a particular focus on document capture, recognition technologies, forms processing and content capture from structured and unstructured business inputs. He is a recognized expert on document scanning and forms recognition including OCR, ICR, OMR, and barcode recognition and has written extensively on these subjects

Bryant Duhon's profile image

Blog Entry
Dark Data – Rediscovering This ‘Hidden’ Business Intelligence Treasure in Your Document Capture Process

This is a huge opportunity for companies to look to intelligent recognition technologies to capture and better leverage this data, particularly that found in both structured (field-based), and unstructured (freeform) handwriting. The study finds that, in general the presence of handwriting on these forms is substantial, but adoption of handwriting recognition technology is low: · 40% of survey respondents said half or more of their inbound forms have handwritten data fields. · 6% of companies surveyed currently use ICR (Intelligent Character Recognition), meaning that most don’t even have the base technology that would provide access to unstructured handwritten data · 35% of ICR users from the survey report a payback period of 12 months or less on ICR applications; and 55% see ROI within 18 months. · Overall, respondents indicated an average productivity improvement of 31% was likely if recognition of hand-written text could be automated; 28% said they would expect a 50 % or more improvement

Don Dew's profile image

Blog Entry
Looking back 10 years

So this year, we celebrated ten successful years of developing knowledge management solutions and providing document recognition, data capture and linguistic software. Certainly, ABBYY USA wouldn’t be where it is today without the incredible transformation of optical character recognition

Joe Budelli's profile image