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Improve Forms Processing Text Recognition Results With Regular Expressions

Successful forms processing requires high accuracy for recognition rates. Using regular expressions permits the recognition engine to make assumptions on the number of expected characters to return, which improves recognition results. Read this paper to learn how to use them successfully.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

About the Author

Jeff Hodges
Engineer Accusoft Pegasus
United States United States
With over twenty years experience developing OCR and ICR SDKs and applications,
Jeff demonstrates a unique combination of enthusiasm and deep technical
knowledge applied to solving complex document recognition problems. He is
currently the lead developer on SmartZone ICR and SmartZone OCR, including
neural net development and all recognition system logic. He is a driving force
in Accusoft Pegasus recognition solutions, including key architectural and
algorithm level contributions on FormSuite, SmartZone, OCR Xpress, Barcode
Xpress, and MICR Xpress. Jeff joined Accusoft Pegasus in 2003, moving from
Adobe Systems where he was the lead recognition scientist developing Acrobat
Capture. He is a Microsoft Certified Solution Developer (MCSD) for .Net and has
a Bachelor of Science in Computer Science and a Bachelor of Science in
Electrical Engineering from the University of Connecticut

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