Here are six key factors to understanding the mechanics of recognition technology: · Understanding the Recognition Process : Recognition technology approaches the process of reading information differently than humans
Many companies rely on a combination of automatic pattern recognition technology and manual data processing
Recognition has become an essential part of capture, evolving over the years from Mark Sense and Optical Character Recognition (OCR) to pattern recognition allowing computers to learn and match patterns in photos, text and even voice. Recognition technologies of today have allowed us to advance our capture capabilities to new levels with an increased ability to extract relevant information we can then use as metadata to not only store but find the information we are looking for regardless of form. In my view, recognition technologies are some of the best tools to enhance and automate your operations in the capture cycle, streamlining the overall process and increasing levels of accuracy
I did not expect that I would be one of the leading experts in document imaging and recognition technologies, but it was a natural evolution that followed a career path, and now I am here
· Invoice processing is possibly the major use of document imaging and recognition technology. Some organizations might get invoices from a thousand vendors in a typical month, all different. Improvements in automatic image enhancement and semi-structured document recognition technology have reduced the AP man-power needed, but still you are dealing with documents being prepared by others
There is software that cleans up images so that document recognition technology has the best fighting chance at accuracy, there is also software makes scanned images look as if they originated digitally
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
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
What about recognition, will you leverage recognition technologies to aid in the capture of metadata?
Document recognition technologies such as OCR and ICR can automatically extract information that is essential to business intelligence and strategy
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