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Optical Character Recognition refers to a technology
that involves "reading" words from a scanned image
by translating each character on an image into
searchable text.
OCR enables users to search for and retrieve
information within a file or page. In addition, when
a set of files is indexed, users are able to search
for keywords across an entire document library and
retrieve each page with exact precision. OCR enables
users to execute searches in seconds, searches that
once required hours or days to complete.
To provide our customers with the Optimal OCR
Accuracy and Layout Retention, the Digital
Documents, LLC Technology Team has developed
dDOptimaOCR 3.5, the most advanced Optical
Character Recognition technologies and processes in
the industry. dDOptimaOCR utilizes advanced OCR
technologies and processes to enable six-sigma level
character accuracy, and ensures that the highest
quality image possible is presented to the OCR
engines for conversion to text.
It is important to note that the quality and
condition of a paper document collection are key
factors in the successful recognition of characters
to create readable text. Therefore, to enhance the
quality of each original page, we start by focusing
on the scan quality of each image -- removing noise
such as borders, speckles, and skews.
In addition, we utilize advanced color filter
technologies to remove any page background colors,
in conjunction with multi-light image capture
technologies to remove any shadows cast by page
creases that could impact image quality or
recognition accuracy.
Once document scanning and processing are complete,
an OCR text layer is added behind each image
utilizing our dDOptimaOCR solution. This solution
begins with an additional orientation filter to
ensure that the best image is presented to the OCR
engines.
Next, the characters in the image are processed
utilizing multi-engine OCR voting technologies that
rank each character to determine the best text
recognition fit. Then once a word is generated, it
is filtered through a proprietary lexicon to ensure
the highest quality results.
Finally, this text can be processed utilizing
sophisticated layout retention technologies to
represent the image text layout, providing the best
possible text representation for pinpoint search and
retrieval accuracy. Once these processes are
complete, the Quality Control Team generates an OCR
Benchmark Report detailing the accuracy of the OCR
process and the quality of the results.
“As the average size of our document scanning and
indexing projects continues to increase, we are
seeing mixed document collections that contain a
greater variety of document condition, quality,
fonts and lay-outs” stated James M. Eglin, Jr.,
Executive Vice President Sales & Marketing in making
this announcement. "We wanted to be able to offer
our clients a way to utilize the power and
flexibility of full-text searching. However, since
we realized that there was nothing currently
available in the market that could provide the
highest levels of OCR accuracy we developed this
version of dDOptimaOCR to respond to this
unfulfilled need."
About Digital Documents, LLC
Digital Documents, LLC is the leading provider of
document scanning and document imaging services to
Private and Public Sector clients globally and
recognized experts in supporting large scale,
critical document conversion projects that require
quick turnarounds and affordable high quality
services.
