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SBimage Enterprise suite enables your company to scan
and classify paper-based documents using barcode,
electronic print recognition or manual classification.
Digitizing paper-based documents eliminates the need for
manual filing, retrieval and refilling of documents from
either onsite or offsite storage facilities. It saves
administrative time, storage costs, improves customer
satisfaction and provides immediate, shared access to
stored documents.
This cost-effective solution is designed to radically improve
the way in which your company can respond to day-to-day
business requirements. It provides a secure, digital
information management solution that enables your
employees and customers to collect, store, manage and
retrieve electronic documentation, in a structured and
secured framework.
The modular approach of the solution allows implementing
single user environment and growing the solution to
enterprise-wide strength.
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Scan Interface is a software package, which supports a variety of
industrial scanners, ranging from small Kodak i40 to high-speed
processing monster - Kodak i830.
The application is built to support all features available from the
scanner hardware & many more additional software
enhancements. Some of the available features are: simplex and
duplex scanning, image enhancement facilities, barcode
processing, flexible scanning profiling (based on image type and
quality), pre- and post-scanning document classification, quality
control and various output formats.
The application is designed with a simple, controlled interface,
easy navigation and configuration.
Controlled by the configuration file, this package can be deployed
in minutes by our support team or your computer specialist, once
again, enabling your company to control and preserve valuable
information.
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SBimage COLD module is designed to provide the company with the
efficient mechanism of archiving electronic report-type of
information. The COLD processing module receives the electronic
print-stream from line-of-business application. This stream is
electronically parsed and the indexing information is extracted. The
print-stream is stored electronically in a text format, which
minimizes storage requirement.
The document is reconstructed with the electronic template once
recalled by the user. In essence, there is only one template image
is stored for the entire document class.
The module provides full-text searching facility on the line data. The
final output can be configured and represented as text, PDF, colour
JPG or XML formats, depending on complexity of the incoming file.
The module also provides a flexible plug-in facility to convert
information received in UNIX or Linux formats. This allows for
possibility of integration with any operating system.
This COLD solution assumes no manual intervention with the
received documentation, the files are processed automatically from
the beginning to the end.
Utilizing this sub-system provides your users with the facility to
access archived information and recall the document under 5
seconds.
This sub-system can also be utilized to match your line-of-business
information versus received and scanned documentation.
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SBimage WEB extension module provides an easy-to-navigate
Internet interface which grants access to stored documentation via
the Internet. This module inherits all the security permissions
available within the system.
Besides the document retrieval, the module provides the document
upload facility, which will enable your clients or branches to submit
their documents directly into the system utilizing the power of the
Internet.
Highly customizable user-interface will provide you with the ability
to modify the application to fit the corporate look-and-feel.
Open-ended architecture allows integration into the module from
your custom Intranet, Extranet and Internet applications.
SBimage Web module is built based on Microsoft technologies and
can be hosted on your existing IIS server on the remote server.
Standard extension points allow development of custom features
such as validation of specific document indexing process.
Bearing in mind the growth of the Internet usage in South Africa
and African continent, expansion of the web-enabled applications
and people’s acceptance of the new technologies, the Internet
imaging is no longer a nice to have component.
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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.
It is widely used to convert books and documents into electronic files, to computerize a record-keeping
system in an office, or to publish the text on a website. OCR makes it possible to edit the text, search
for a word or phrase, store it more compactly, display or print a copy free of scanning artifacts, and
apply techniques such as machine translation, text-to-speech and text mining to it. OCR is a field of
research in pattern recognition, artificial intelligence and computer vision.
OCR systems require calibration to read a specific font; early versions needed to be programmed with
images of each character, and worked on one font at a time. "Intelligent" systems with a high degree
of recognition accuracy for most fonts are now common. Some systems are capable of reproducing
formatted output that closely approximates the original scanned page including images, columns and
other non-textual components.
More...
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In computer science, Intelligent Character Recognition (ICR) is an advanced optical character
recognition (OCR) or — rather more specific — handwriting recognition system that allows fonts and
different styles of handwriting to be learned by a computer during processing to improve accuracy and
recognition levels.
Most ICR software has a self-learning system referred to as a neural network, which automatically
updates the recognition database for new handwriting patterns. It extends the usefulness of scanning
devices for the purpose of document processing, from printed character recognition (a function of OCR)
to hand-written matter recognition. Because this process is involved in recognising hand writing,
accuracy levels may, in some circumstances, not be very good but can achieve 97%+ accuracy rates in
reading handwriting in structured forms. Often to achieve these high recognition rates several read
engines are used within the software and each is given elective voting rights to determine the true
reading of characters. In numeric fields, engines which are designed to read numbers take preference,
while in alpha fields, engines designed to read hand written letters have higher elective rights.
When used in conjunction with a bespoke interface hub, hand-written data can be automatically populated
into a back office system avoiding laborious manual keying and can be more accurate than traditional
human data entry.
More...
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Digital paper, also known as interactive paper, is patterned paper used in conjunction
with a digital pen to create handwritten digital documents. The printed dot pattern uniquely identifies
the position coordinates on the paper. The digital pen uses this pattern to store the handwriting and
upload it to a computer.
Digital paper should not be confused with electronic paper.
Effectively, you write your information or notes on a normal piece of paper, using normal ink. The pen
records the lines and stores that information in memory. Once you near your computer, you send information
for decoding to the server, the server creates an exact copy of the document in electronic format. There
is no scanning required! You can destroy the original paper you used, or send it off for storage.
Have a look at this document, this document was not scanned, it was reconstructed from digital paper.
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