<--- Back to Details
First PageDocument Content
Information retrieval / Optical character recognition / Content management systems / Kofax / Search engine indexing / Microsoft SharePoint / Portable Document Format / Automatic identification and data capture / Information science / Document management systems / Computing
Date: 2014-03-13 10:14:24
Information retrieval
Optical character recognition
Content management systems
Kofax
Search engine indexing
Microsoft SharePoint
Portable Document Format
Automatic identification and data capture
Information science
Document management systems
Computing

Kofax Express Powerful Information Capture

Add to Reading List

Source URL: www.dcainfo.com

Download Document from Source Website

File Size: 359,42 KB

Share Document on Facebook

Similar Documents

Optical Character Recognition - IMPACT Briefing Paper

DocID: 1v2lJ - View Document

1929 Duncan Moss 2nd ed. The PDF of this publication has been subjected to Optical Character Recognition (OCR) to enable searching. Because of this processing, old and unusual fonts and characters can very occasionally g

DocID: 1uihr - View Document

Journal of Machine Learning Research387 Submitted 5/10; Revised 8/11; Published 2/12 Bounding the Probability of Error for High Precision Optical Character Recognition

DocID: 1tFuW - View Document

Security / Artificial intelligence / Electronic toll collection / Automatic number plate recognition / Optical character recognition / Road traffic management / Surveillance / Audit / Telecommunications data retention / Computer security

Automated License Plate Reader Audit Review Background Legislation related to law enforcement’s use of automated license plate reader (ALPR) data went into effect inAgencies using ALPRs when the new requirements

DocID: 1rdLT - View Document

Artificial intelligence / Computer vision / Feature detection / Image processing / Vision / Artificial intelligence applications / Image segmentation / Market segmentation / Hough transform / Optical character recognition / Feature extraction / Binary image

CHARACTER SEGMENTATION FOR HANDWRITTEN BANGLA WORDS USING ARTIFICIAL NEURAL NETWORK T. K. Bhowmik # , A. Roy * and U. Roy * # IBM Global Services Pvt Ltd, Embassy Golf Link, Bangalore, INDIA.

DocID: 1r8TE - View Document