Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text.
Company: Condusiv (Formerly - Diskeeper)
Learn the key tactics in establishing best practices for I/O optimisation. Whether the virtual environment has already been established or is in its initial design, actions taken now can provide accelerated performance and incremental IOPS, ensuring longevity of the initial virtual gains. VIEW SUMMARY
Category: Desktop Management | Published: January 2012 | Type: White Paper
Rating: + 1
Company: SDL Tridion
With the increasing number of channels by which a company can interact with its customers, employees may be tempted to bypass the IT department, with its associated delays and restrictions.All of this spells danger for the corporate IT and for the standing and morale of the IT department itself. VIEW SUMMARY
Category: Web Content Management | Published: May 2011 | Type: White Paper
Rating: + 4
This case study illustrates how a large insurance company battled their document processing problems by installing an OCR and document capture solution. VIEW SUMMARY
Category: Optical character recognition (OCR) | Published: September 2010 | Type: White Paper
Rating: + 5
International legal practises like Norton Rose are inundated with thousands of documents that need to be both stored and easy to find. This case study shows how ABBYY Recognition Server saved this firm both time and money. VIEW SUMMARY
Category: Document Management | Published: September 2010 | Type: Case Study
Rating: + 1
Each day companies and organisations around the world struggle with the monumental task of processing documents – all of which need to be entered into the computer in the quickest and most cost-efficient method possible. This case study looks at combating this problem VIEW SUMMARY
Category: Optical character recognition (OCR) | Published: September 2010 | Type: Case Study
Rating: + 2
Often, the tools that are available in traditional data capture environments are not flexible enough to solve a particular task, or they require solutions that are complicated, expensive or difficult to use and maintain. This paper looks at a flexible more intelligent solution VIEW SUMMARY
Category: Optical character recognition (OCR) | Published: December 2009 | Type: White Paper
Rating: + 3
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