Understanding OCR Technology
written by Ari Gross, PhD. CEO of CVISION Technologies, Inc.
Introduction to OCR
Optical Character Recognition, also known as OCR, is the process of converting scanned paper documents into searchable, electronic files. In many office applications, such as invoice processing, there are clear time and cost efficiencies in converting paper documents into electronic documents. For example, entering document information into a database, also known as field coding, is often a very expensive proposition. Using electronically converted files, instead of the original paper, the process of field coding can be sent offshore or even automated.
Recognizing the value of data capture technology is easily measurable. The ability of the technology to reduce the cost and risk associated with paper-based operation can be obvious after a single demo. However, placing a dollar figure on the value and maximizing the success can be much more difficult. There is a substantial number of variables that can influence a successful integration of data capture technology for an organization. Therefore, it is necessary to utilize specific techniques and practices to give data capture technology the best chance of success:
An In-Depth Look at Optical Character Recognition
Section 1 | Introduction to OCR
OCR Improves Paper-Based Processes In Any Industry
In many applications, including accounting, banking, digital libraries, insurance, remote backups, records management and legal settings, OCR is automating the way that businesses process files. Accurate OCR directly lends itself to data extraction which reduces the costs associated with form processing - What can this software do for your organization?